Machining Engineer jobs at Reddit

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. We're evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we're excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one! Team Description Reddit is poised to rapidly innovate and grow like no other time in its history. We're currently hiring across multiple teams including: Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization and Ads Marketplace Teams. Ads Measurement Modeling Team This horizontal ML team in the Ads Measurement org works on proving the value of Reddit Ads to advertisers while ensuring privacy compliance. Their projects address challenges in signals, privacy, and identity, including Modeled Identity, Modeled Conversions, and enhancements for ATT opt-out utility. Ads Targeting and Retrieval Team This team designs and builds large-scale ML systems to improve targeting products. Their work spans offline and online retrieval systems that enhance contextual and behavioral targeting, helping advertisers reach the most relevant audiences. Advertiser Optimization Team This group consists of two horizontal teams focused on advertiser outcomes. The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales, while the Bidding/Pacing team develops algorithms and customer-facing products like TCPA, TROAS, and performance advertising solutions. They work on marketplace dynamics, bidding and pacing innovations, and new advertiser tools. Ads Marketplace Quality Team This team improves the efficiency of Reddit's ads marketplace by developing algorithms for auction and pricing optimization, directly impacting advertiser and user value. They also contribute to strategic initiatives such as supply optimization and ad relevance, with the goal of showing the right ads to the right users at the right time and in the right context. The Ads Creative Effectiveness Team This team is a newly formed group aimed at improving ad creative at Reddit through generative and predictive products. We train, adapt and finetune LLMs/VLMs to help advertisers make impactful images, videos and text. We build performance predictors to understand and rank ad components, ensuring the advertiser ships the best possible campaigns. We construct insight and recommendation engines to guide advertisers towards best practices and key enhancements, distilling knowledge about what works at Reddit to supercharge their performance.This team is at the heart of Reddit's creative strategy, a core priority for the organization. Role Description Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit's business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization. Responsibilities: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Required Qualifications: At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment. Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices. Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms. Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions. Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs An advanced degree (MS/PhD) in a quantitative field. Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka). Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit *********************************** To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$185,800-$260,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you'll do: Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we're looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. 5+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. Publications at top ML conferences. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$161,263-$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** The Developer Platform team empowers developers to create engaging interactive experiences for Reddit communities, such as asynchronous or real-time multiplayer games, live stock tickers, and live scoreboards. If you have a background in ranking and are excited about connecting Redditors with their next favorite game, this highly collaborative and impactful team wants your expertise! You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. You'll work with a super talented, cross-functional team to solve hard problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness and kindness. Responsibilities: Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance. Identify opportunities to enhance ranking capabilities by diving deep into our platform and understanding the needs of our customers. Design and develop applied machine learning models for modeled personalization, game taxonomy, and more, from ideation to production deployment. Collaborate with data scientists, product managers and backend software engineers. Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies. Conduct A/B tests and experiments to iterate and fine-tune algorithms and models. Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community. Design, implement, and maintain reliable, high-performance distributed systems. Minimum Qualifications: 5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment. Prior experience with personalized feed ranking. Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications. Ability to lead and mentor machine learning engineers or data scientists. Strong communication skills to collaborate effectively with cross-functional teams and stakeholders. Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI. Preferred Qualifications: Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset Proficiency with programming languages and statistical analysis Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture is a big plus Experience in Bayesian methodology and experimentation is a plus Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days off Generous paid Parental Leave Paid Volunteer time off Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit *********************************** To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$216,700-$303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or PhD in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$138,905-$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Principal Machine Learning Engineer, a senior technical visionary, to be the Principal Technical Lead for the Content & Trust Engineering teams setting up overall technical strategy, unified technical architecture and defining a roadmap for industry leading methodology. Strong hands on machine learning background including deep learning architectures, generative AI, low-resource ML (zero shot, few shot), responsible AI and large scale deployment and measurement is required. As the Principal Machine Learning Engineer you'll be responsible for the technical direction, strategy and health of our Content and Trust Engineering org. You'll ensure that our technology can deliver on the business/product requirements necessary to keep Pinterest safe and positive. This means working with other leads to set and execute a long-term strategy for Content and Trust, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class Content and Trust capabilities. You'll also foster a healthy community where all ML engineers can learn best practices, collaborate effectively and understand our technical direction. What you'll do Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points Champion and drive large-scale, cross-functional initiatives that improve the trust and safety of our platform Act as the ultimate “customer representative” for engineers on Content and Trust including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience Scale your leadership through both direct mentorship and via best practices, processes, training and tools. Ensure solid technical plans are in place for projects within Trust via direct review or delegation Be the technical point of contact for decisions that impact the whole Pinterest platform and for cross-functional partners like policy, operations and legal What we're looking for: Deep expertise building large scale ML systems at scale with modern frameworks Knowledge of (and a passion for) building responsible and quality first discovery surfaces Track record of delivering large, cross-functional projects across multiple organizations Strong written and verbal communication skills and proven ability to collaborate cross-functionally In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1 time per quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE # LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$267,393-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. The User Understanding team develops state-of-the-art models and systems to deeply understand the evolving interests, intents and tastes of our 500M+ Pinterest users, which power the personalization of Pinterest products across Discovery (Homefeed, Search, Related Pins), Ads, and Growth. As the Staff Machine Learning Engineer of the User Understanding team, you will set technical vision, lead the team in building next-generation user understanding models, and partner cross-functionally to deliver more relevant and personalized experiences to our users. What you'll do: Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics. Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. What we're looking for: Hands-on experience developing and deploying large-scale machine learning systems in search, recommendation or advertising. Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems. 6+ years of industry experience in applied machine learning or closely related roles. Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions. Bachelor's/Master's degree in a relevant field such as computer science or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. #LI-DM57 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 600 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. We are seeking talented Staff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. In these roles, you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences. What you'll do: Design features and build large-scale machine learning models to improve user ads action prediction with low latency Develop new techniques for inferring user interests from online and offline activity Mine text, visual, user signals to better understand user intention Work with product and sales teams to design and implement new ad products What we're looking for: Degree in computer science, machine learning, statistics, or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 2+ years of experience leading projects/teams Strong mathematical skills with knowledge of statistical methods Cross-functional collaborator and strong communicator In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there's a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com. Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there's a community for everybody on Reddit and with more than 100 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com. We're evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we're excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one! Team Description Reddit is poised to rapidly innovate and grow like no other time in its history. We're currently hiring across multiple teams including: Ads Prediction, App Ads & Conversion Modeling, Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization and Ads Marketplace Teams. Ads ML Serving Team Part of Reddit's Ads ML Platform, this team builds a highly reliable, scalable, and efficient ML serving stack. They focus on long-term architecture, tight integration with the ads serving stack, CPU/GPU performance optimization, and model velocity tools like observability libraries and quality gating. Attribution & Identity Team This team builds attribution systems and identity solutions that help advertisers measure the impact of their campaigns. They create experimentation tools and platforms that improve usability, transparency, and performance insights. Ads Measurement Modeling Team A horizontal ML team in the Ads Measurement org focused on proving Reddit Ads value while maintaining privacy compliance. Their work includes Modeled Identity, Modeled Conversions, and ATT opt-out utility enhancements. Ads Targeting and Retrieval Team This team designs and implements large-scale ML systems to improve targeting products. They work on offline and online retrieval systems to enhance contextual and behavioral targeting. Advertiser Optimization Team Composed of two horizontal teams, this group focuses on advertiser outcomes. The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales. The Bidding/Pacing team develops algorithms and products like TCPA, TROAS, and performance advertising solutions, while driving innovations in marketplace dynamics. Ads Marketplace Quality Team This team optimizes Reddit's ads marketplace by building algorithms for auction and pricing efficiency. They also work on supply optimization and ad relevance, ensuring ads reach the right users at the right time in the right context. App Ads and Conversion Modeling Teams Formed in early 2024, these teams focus on app ads modeling, including app install models and deep neural network models for iOS and Android conversions. They work on in-app event optimization and return on ad spend (RoAS) optimization, and are running experiments on top of DNN architectures to improve prediction accuracy. Ads Prediction Team This team drives innovation across signals, features, model architecture, and infrastructure to improve marketplace efficiency and revenue. It includes: Core Ads Ranking (CAR): Builds reusable, scalable features and ranking models that integrate across the ads ecosystem, improving quality and iteration speed. Engagement Modeling (EV): Develops click, long-click, and video engagement models for upper- and middle-funnel ad products. The Ads Creative Effectiveness team This team is a newly formed group aimed at improving ad creative at Reddit through generative and predictive products. We train, adapt and finetune LLMs/VLMs to help advertisers make impactful images, videos and text. We build performance predictors to understand and rank ad components, ensuring the advertiser ships the best possible campaigns. We construct insight and recommendation engines to guide advertisers towards best practices and key enhancements, distilling knowledge about what works at Reddit to supercharge their performance.This team is at the heart of Reddit's creative strategy, a core priority for the organization. Reddit Ads offers the opportunity to work on large-scale systems that directly impact advertisers, users, and revenue. We have openings across multiple teams and are looking for engineers and ML experts at all levels. Role Description Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit's business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization. Responsibilities: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Required Qualifications: Experience working in the Ads domain At least 3-5+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment. Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices. Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms. Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions. Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems. Bonus Points: Experience or interest in the advertising business and understanding customer needs An advanced degree (MS/PhD) in a quantitative field. Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka). Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit ****************** Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there's a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com. Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there's a community for everybody on Reddit and with more than 100 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com. We're evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we're excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one! Team Description Reddit is poised to rapidly innovate and grow like no other time in its history. We're currently hiring across multiple teams including: Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization and Ads Marketplace Teams. Ads Measurement Modeling Team This horizontal ML team in the Ads Measurement org works on proving the value of Reddit Ads to advertisers while ensuring privacy compliance. Their projects address challenges in signals, privacy, and identity, including Modeled Identity, Modeled Conversions, and enhancements for ATT opt-out utility. Ads Targeting and Retrieval Team This team designs and builds large-scale ML systems to improve targeting products. Their work spans offline and online retrieval systems that enhance contextual and behavioral targeting, helping advertisers reach the most relevant audiences. Advertiser Optimization Team This group consists of two horizontal teams focused on advertiser outcomes. The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales, while the Bidding/Pacing team develops algorithms and customer-facing products like TCPA, TROAS, and performance advertising solutions. They work on marketplace dynamics, bidding and pacing innovations, and new advertiser tools. Ads Marketplace Quality Team This team improves the efficiency of Reddit's ads marketplace by developing algorithms for auction and pricing optimization, directly impacting advertiser and user value. They also contribute to strategic initiatives such as supply optimization and ad relevance, with the goal of showing the right ads to the right users at the right time and in the right context. The Ads Creative Effectiveness Team This team is a newly formed group aimed at improving ad creative at Reddit through generative and predictive products. We train, adapt and finetune LLMs/VLMs to help advertisers make impactful images, videos and text. We build performance predictors to understand and rank ad components, ensuring the advertiser ships the best possible campaigns. We construct insight and recommendation engines to guide advertisers towards best practices and key enhancements, distilling knowledge about what works at Reddit to supercharge their performance.This team is at the heart of Reddit's creative strategy, a core priority for the organization. Role Description Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit's business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization. Responsibilities: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Required Qualifications: At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment. Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices. Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms. Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions. Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs An advanced degree (MS/PhD) in a quantitative field. Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka). Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within the Monetization ML Engineering organization, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads delivery that bring together Pinners and partners in this unique marketplace. What you'll do: Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery. Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities. What we're looking for: Degree in computer science, machine learning, statistics, or a related field 15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products Experience leading cross‑team engineering efforts that improve user experience in products Understanding of an object‑oriented programming language such as Go, Java, C++, or Python Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce) Strong software engineering and mathematical skills, with knowledge of statistical methods Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together Hands‑on experience with large‑scale online e‑commerce systems Background in computational advertising is preferred Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$347,264-$607,712 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. This Principal Engineer L18 IC role on the Monetization Team requires a senior technical leader with a strong background in both core software engineering and machine learning. This role will lead the development and execution of the technical strategy for ad products that cater to both end users and advertisers on the platform. The individual we hire will oversee the core technical outputs of approximately 200 engineers and remain a hands-on contributor, shipping their own deliverables in the process. The ideal candidate is a brilliant technical contributor with a proven history of delivering complex architectural solutions within the ads domain. What you'll do: Lead and mentor engineering teams, inspiring innovation and excellence, while fostering future technical leaders within the organization. Architect and implement cutting-edge strategies to refine advertiser experiences and launch user-centric products. Guide and evaluate complex technical plans, ensuring they align with Pinterest's strategic objectives and elevate operational efficiency. Proactively manage project milestones, anticipate risks, and adapt strategies to ensure timely, successful delivery. Oversee projects that improve developer efficiency, service reliability, and engineering quality, promoting best practices in software architecture. Cultivate strong relationships with key stakeholders, ensuring alignment with business goals, and drive consensus on strategic initiatives. Lead development initiatives that leverage new generative AI models and strategies to enhance product offerings, ensuring alignment with business goals. Champion best practices and drive architectural improvements that enhance system performance and extensibility. What we're looking for: Masters or Bachelor's degree with relevant experience in computer science or a closely related discipline. 10+ years of professional experience in software engineering. 5+ years of professional experience in machine learning engineering. Robust comprehension of advertising technology. Demonstrated ability to lead significant technical initiatives across organizations, with an emphasis on scalability, quality, and maintainability. Recognized as a thought leader, driving strategic outcomes while promoting a culture of accountability and diversity. Proven experience shipping products which leverage generative ai technologies. Fundamental understanding of machine learning systems and the capacity to guide decisions regarding build, leverage, or acquisition. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NB1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$242,634-$499,541 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics. What you'll do: Improve relevance and the user experience on Homefeed Work on state-of-the-art large-scale applied machine learning projects Improve the efficiency and reliability of large-scale data processing and ML inference pipeline Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost What we're looking for: Languages: Python, Java Machine Learning: PyTorch, Tensorflow Big data processing: Spark, Hive, MapReduce 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale 7+ years experience with large scale distributed backend service Experience in working in Deep learning and Generative AI models Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product Bachelors in computer science or equivalent experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$227,871-$469,147 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. **Team & Role Overview:** As a Senior Staff AI Engineer (L7 - Senior Technical Lead) at LinkedIn Ads you will be responsible for leading a team of engineers who build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with and implement GenAI solutions to build new ad-creative variations which can yield better ROI for our advertisers. This can include written content, images, and video content. This role will provide technical and thought leadership for GAI spanning multiple work streams and a team of 15-20 total engineers. **Responsibilities:** + Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. + Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. + Evangelize the use of LLMs and AI in software development in the broader organization. + Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. + Drive key decisions related to model selection, training, evaluation, and fine tuning. + Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. **Basic Qualifications:** + At least two years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. + 5+ years of overall industry experience in AI or Machine Learning Engineering. + BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience **Preferred Qualifications:** + 10+ years of overall industry/research experience in AI and/or Machine Learning. + PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field + Expert-level understanding of leading Generative AI (GAI) solutions, along with deep expertise in topics such as model selection and deep learning / reinforcement learning and their application to model training in language-based environments. + Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). + Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). + Prior experience in the Ads domain. **Suggested Skills:** + Generative AI (GAI) + Reinforcement Learning (RL) + Technical Leadership **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement:** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. Team & Role Overview: As a Senior Staff AI Engineer (L7 - Senior Technical Lead) at LinkedIn Ads you will be responsible for leading a team of engineers who build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with and implement GenAI solutions to build new ad-creative variations which can yield better ROI for our advertisers. This can include written content, images, and video content. This role will provide technical and thought leadership for GAI spanning multiple work streams and a team of 15-20 total engineers. Responsibilities: * Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. * Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. * Evangelize the use of LLMs and AI in software development in the broader organization. * Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. * Drive key decisions related to model selection, training, evaluation, and fine tuning. * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. Qualifications Basic Qualifications: * At least two years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. * 5+ years of overall industry experience in AI or Machine Learning Engineering. * BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Preferred Qualifications: * 10+ years of overall industry/research experience in AI and/or Machine Learning. * PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field * Expert-level understanding of leading Generative AI (GAI) solutions, along with deep expertise in topics such as model selection and deep learning / reinforcement learning and their application to model training in language-based environments. * Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). * Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). * Prior experience in the Ads domain. Suggested Skills: * Generative AI (GAI) * Reinforcement Learning (RL) * Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Please note: This job posting is not for immediate hire but rather an opportunity to submit an application for future consideration. Twitter promotes and protects the public conversation. Twitter is the town square of the internet. At Twitter, we work with one goal in mind: to improve Twitter for our customers, partners, and the people who use it across the world. Brand safety is only possible when human safety is the top priority - This mindset is what drives us forward. Job Description Responsibilities: Responsible for setting technical direction and shaping our engineering culture; Responsible for establishing best practices and defining effective partnerships; Work with cross-functional partners in Engineering, Product Management, Design and Research across Twitter to plan, implement, and validate solutions to user problems while pushing the Twitter for iOS experience towards the future; Work at all layers of the iOS stack; Proactively identify improvements to our product's UX/UI and our codebase to enable us to stay ahead of the curve of the constantly evolving iOS development ecosystem; Enable effective collaboration, high velocity execution and technical excellence within the team; Lead by example in terms of best engineering practices including writing engineering architecture/design documents, checking in, reviewing maintainable and extensible code with high-quality tests and documentation; Provide technical mentorship and coaching to our technical leads. Qualifications Basic Qualifications: 7+ years of prior experience developing mobile applications on iOS with Objective-C and/or Swift; Knowledge of core CS concepts such as data structures and algorithms, profiling, and optimization; Familiar with iOS SDK frameworks, in areas such as networking, data persistence, logging and performance tooling; Familiar with standard software engineering methodology such as unit testing, code reviews, design documentation; Strong understanding of iOS design guidelines; Considered a Subject Matter Expert when it comes to iOS development; Previous experience building products from scratch, and proven ability of turning product requirements into concrete engineering plans; Possess general networking knowledge with detailed experience in iOS networking stacks; Possess technical depth that allows you to negotiate expectations around technical limitations, bring designs to life, and rapidly fix bugs and solve problems; Experience with building high quality, scalable and reusable code consumed by other engineers; Advocate of user-centric product development and understands the balance required when shipping impact software at scale, while considering trade-offs and collaboration; Track record as a leader in the areas of their domain, driving large-scale operational changes across an organization; Track record of staff-level+ contributions on multiple projects; Track record of coordinating implementation of high impact projects across many teams, delivering projects with reliable deadlines and milestones over multiple quarters; Experience creating scalable impact by one or more of the following: Up-leveling peers, supporting peers in their technical proposals, or supporting their technical designs; Prior leadership experience as technical lead/architect; Demonstrated ability to assist other teams with diagnosing or root-causing their incidents. Preferred Qualifications: Strong eye towards design and usability; Passionate about experimentation and understanding user behavior and needs; Proactive external code contributor on public forms. Additional Information We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other status or characteristic protected by, state, or local laws. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitter provides reasonable accommodations during the recruitment and hiring process upon request. Information received relating to accommodations will be addressed confidentially. To request an accommodation, please contact [email protected] . All your information will be kept confidential according to EEO guidelines.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Assets, Formats & Placements team is part of our LinkedIn Marketing Solutions (Ads Technology) group. This team has a vision of building a content onboarding and asset generation platform, innovating in new ad formats and experimenting with new ad slot supply that can be monetized. The team also owns vertical products like hosting live events and B2B marketing aspects for those events and the strategy to monetize creators & publishers that post high quality video content on LinkedIn. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. Responsibilities: As a Principal AI Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers. Define and execute technical vision for applying AI to accelerate the team's roadmap which includes asset generation using LLMs, personalizing ads at scale and new workflows that guide advertisers to building higher performing ads. Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, processes and build a culture of operational excellence. Partner with Product, Data Science, and AI Research teams to translate business goals into scalable AI-powered capabilities that improve the advertiser experience & ROI. Establish best practices for experimentation, model evaluation, and responsible AI within the asset generation, ads personalization and supply expansion spaces. Qualifications Basic Qualifications: 5+ years as a Technical Leader (L7, Senior Staff, Principal, etc.) 7+ years of industry experience with Machine Learning, AI, Data Engineering, or related solutions. Bachelor of Science (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding, or equivalent technical experience. Preferred Qualifications: 10+ years of industry experience (AI, Machine Learning, Data Science, or related) including prior experience working in the Tech domain. Master's or PhD in Computer Science or a related discipline. BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. Previous design and implementation of solutions in highly distributed environments. Experience in the Advertising and Marketing domain. Prior work designing and building scalable agentic systems. Skills: Technical Leadership AI Engineering Enterprise ML Solutions You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Team Overview:** The Assets, Formats & Placements team is part of our LinkedIn Marketing Solutions (Ads Technology) group. This team has a vision of building a content onboarding and asset generation platform, innovating in new ad formats and experimenting with new ad slot supply that can be monetized. The team also owns vertical products like hosting live events and B2B marketing aspects for those events and the strategy to monetize creators & publishers that post high quality video content on LinkedIn. **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in **New York, NY** . **Responsibilities:** As a Principal AI Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers. + Define and execute technical vision for applying AI to accelerate the team's roadmap which includes asset generation using LLMs, personalizing ads at scale and new workflows that guide advertisers to building higher performing ads. + Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, processes and build a culture of operational excellence. + Partner with Product, Data Science, and AI Research teams to translate business goals into scalable AI-powered capabilities that improve the advertiser experience & ROI. + Establish best practices for experimentation, model evaluation, and responsible AI within the asset generation, ads personalization and supply expansion spaces. **Basic Qualifications:** + 5+ years as a Technical Leader (L7, Senior Staff, Principal, etc.) + 7+ years of industry experience with Machine Learning, AI, Data Engineering, or related solutions. + Bachelor of Science (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding, or equivalent technical experience. **Preferred Qualifications:** + 10+ years of industry experience (AI, Machine Learning, Data Science, or related) including prior experience working in the Tech domain. + Master's or PhD in Computer Science or a related discipline. + BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. + Previous design and implementation of solutions in highly distributed environments. + Experience in the Advertising and Marketing domain. + Prior work designing and building scalable agentic systems. **Skills:** + Technical Leadership + AI Engineering + Enterprise ML Solutions **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. **Compensation:** LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

_corporate_fare_ Google _place_ New York, NY, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 8 years of experience in software development. + 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. + 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. + 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). **Preferred qualifications:** + Experience in machine learning, statistics (stats), applied mathematics, or operations research in the industry or in the academic sector. + Experience with Ads, AdsML, LegoML, Keras, or TFX. + Experience productionizing ML systems. + Experience in Experiment Design. + Ability to write high quality and low latency code/models that can train on and serve on every query. **About the job** Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We build and maintain machine learning models using Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict user interactions on Search Ads. These models are a key component in setting advertisers' bids, with the goal of improving both satisfaction and Return on Investment (ROI) for Search Ads advertisers using Auto-bidding products. By optimizing towards advertisers' objectives, Auto-bidding products drive Google's global Ads business, which serves billions of users and generates in business. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model life-cycle from concept to deployment. + Solve machine learning related problems by designing, running, and analyzing experiments using investigative and statistical methods. + Contribute to code health, automation, and alerting systems to ensure model stability and performance. + Participate in on-call rotations for model health, working alongside team members to support critical systems. + Learn the bidding machine learning models that drive billions in ad business across Google Ads. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 8 years of experience in software development. * 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. * 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. * 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: * Experience in machine learning, statistics (stats), applied mathematics, or operations research in the industry or in the academic sector. * Experience with Ads, AdsML, LegoML, Keras, or TFX. * Experience productionizing ML systems. * Experience in Experiment Design. * Ability to write high quality and low latency code/models that can train on and serve on every query. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We build and maintain machine learning models using Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict user interactions on Search Ads. These models are a key component in setting advertisers' bids, with the goal of improving both satisfaction and Return on Investment (ROI) for Search Ads advertisers using Auto-bidding products. By optimizing towards advertisers' objectives, Auto-bidding products drive Google's global Ads business, which serves billions of users and generates in business. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model life-cycle from concept to deployment. * Solve machine learning related problems by designing, running, and analyzing experiments using investigative and statistical methods. * Contribute to code health, automation, and alerting systems to ensure model stability and performance. * Participate in on-call rotations for model health, working alongside team members to support critical systems. * Learn the bidding machine learning models that drive billions in ad business across Google Ads.