Machining Engineer jobs at Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Experimental Projects team is our in-house innovation lab where we rapidly transform ideas into working prototypes. We operate as an idea incubator, building and testing new concepts with real users, sometimes going from concept to functional prototype in just days. What you'll do As a Software Engineer on the Experimental Projects team, you'll be at the forefront of innovation at Stripe, turning promising ideas into tangible solutions that could shape the future of our platform. You'll have the autonomy to identify opportunities, rapidly build prototypes, and work directly with users to validate and iterate on your solutions. This role combines technical excellence with creative problem-solving - you'll work across our entire technology stack to bring ideas to life, sometimes in just days. Your work will help us discover new ways to empower businesses worldwide, contributing directly to Stripe's mission of increasing the GDP of the internet. Whether it's creating new developer tools, exploring novel payment experiences, or inventing entirely new products, you'll have the freedom to experiment and the resources to make a significant impact. Responsibilities You will operate with high autonomy to identify and champion technical solutions that address areas of high business ambiguity and opportunity, translating complex user needs into long-lasting platform strategy. You will be at the forefront of innovation, turning high-leverage, promising ideas into tangible, robust solutions that could shape the future of our platform and our product roadmap. You will combine technical excellence with creative problem-solving, working across our entire technology stack to bring ideas to life rapidly, ensuring the majority of your impact remains technical in nature. You will frequently serve as a key engineering representative when engaging with senior leaders and decision-makers across large groups within Stripe. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 12+ years of engineering experience or equivalent combined work experience reflecting domain expertise Experience in rapidly developing prototypes and iterating based on user feedback Demonstrate strong product intuition and experience leading initiatives spanning multiple teams and leveraging deep domain expertise to influence tech roadmap planning and execution Have experience building and shipping products from scratch Experience leading and influencing technical roadmaps for initiatives spanning multiple, highly interacting teams. Preferred qualifications Are comfortable with ambiguity and fast-paced environments Have a passion for working on side-projects, open source, or similar self-driven initiatives you're proud of Bring energy and enthusiasm that inspires collaboration

In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. **Responsibilities** + Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready". + Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. + Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. + Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. + Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. + Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. **Qualifications** + **Model Prototyping:** The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models. + **Model Productionalization** : Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models. + **Model Enhancement** : Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose. + **Machine Learning Tools** : The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling. **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience. + Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). + Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California,CA: $137,500.00 - 186,500.00 Southern California,CA: $124,500.00 - 168,500.00 New York $136,000.00 - 184,000.00 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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$176,924-$364,254 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. 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$150,713-$310,291 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 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$129,818-$267,272 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.

At Meta, Design Engineers solve complex Product Design problems with Engineering skills. This is a unique, specialized role on Meta's Design Tools team with a mandate to support efforts around quality and craft, improve design systems and tools, and help launch 0-1 product concepts and ideas that are reviewed by leadership. **Required Skills:** Design Engineer, Design Tools Responsibilities: 1. Contribute to product strategy for a comprehensive suite of AI Design Tools, covering all stages of user experience and development 2. Contribute to product design, specifying how our AI design tooling works in a highly complex and technical space 3. Directly contribute front-end code, and work with Software Engineers and Product Designers to launch new tooling features 4. Work with UX research to understand user issues for AI design workflows, and identify new opportunities for tooling assistance 5. Support the integration of cutting-edge models, such as Llama4 and beyond **Minimum Qualifications:** Minimum Qualifications: 6. 4+ years of experience with front-end development 7. 4+ years of experience with product design and strategy 8. Understanding of design principles and the knowledge to build experiences that span mobile and desktop browsers and native platforms 9. Experience in full lifecycle of design and development -- including ideation, UX design, prototyping, and development **Preferred Qualifications:** Preferred Qualifications: 10. Familiarity and experience with React 11. High-level familiarity with modern AI models **Public Compensation:** $135,000/year to $194,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Meta, Design Engineers solve complex Product Design problems with Engineering skills. This is a unique, specialized role on Meta's Design Tools team with a mandate to support efforts around quality and craft, improve design systems and tools, and help launch 0-1 product concepts and ideas that are reviewed by leadership. Minimum Qualifications * 4+ years of experience with front-end development * 4+ years of experience with product design and strategy * Understanding of design principles and the knowledge to build experiences that span mobile and desktop browsers and native platforms * Experience in full lifecycle of design and development -- including ideation, UX design, prototyping, and development Preferred Qualifications * Familiarity and experience with React * High-level familiarity with modern AI models Responsibilities * Contribute to product strategy for a comprehensive suite of AI Design Tools, covering all stages of user experience and development * Contribute to product design, specifying how our AI design tooling works in a highly complex and technical space * Directly contribute front-end code, and work with Software Engineers and Product Designers to launch new tooling features * Work with UX research to understand user issues for AI design workflows, and identify new opportunities for tooling assistance * Support the integration of cutting-edge models, such as Llama4 and beyond About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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. 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.

At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing hardware systems for MR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our team supports mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. **Required Skills:** Product Design Engineer Responsibilities: 1. Lead the mechanical design for a particular component, feature or system while having end-to-end product development understanding 2. Contribute to mechanical solutions as part of a highly cross-functional team 3. Model, build, test, and refine prototypes and characterization test systems 4. Work across the full product development cycle, from concept inception to shipping product 5. Collaborate and manage work with Asia-based Supply Chain 6. Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams 7. Travel to external vendors up to 20% **Minimum Qualifications:** Minimum Qualifications: 8. BS in Mechanical Engineering or equivalent industry experience 9. 6+ years of industry experience in mechanical design 10. Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, GD&T, and 3D/2D CAD 11. Working knowledge in material properties, such as plastics, metal, adhesive, and glass 12. Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.) 13. Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) **Preferred Qualifications:** Preferred Qualifications: 14. 8+ years of product design and development experience of handheld and/or wearable high-volume consumer electronics, including complex subsystems and/or full systems ownership 15. Experience with NX CAD 16. Experience with highly cosmetic products and working with Industrial Design 17. Fluency in Mandarin and/or Cantonese 18. Experience designing for human factors 19. Experience designing and shipping products with Asia-based supply chains 20. MS or PhD in Mechanical Engineering **Public Compensation:** $139,000/year to $200,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing hardware systems for MR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our team supports mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. Minimum Qualifications * BS in Mechanical Engineering or equivalent industry experience * 6+ years of industry experience in mechanical design * Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, GD&T, and 3D/2D CAD * Working knowledge in material properties, such as plastics, metal, adhesive, and glass * Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.) * Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) Preferred Qualifications * 8+ years of product design and development experience of handheld and/or wearable high-volume consumer electronics, including complex subsystems and/or full systems ownership * Experience with NX CAD * Experience with highly cosmetic products and working with Industrial Design * Fluency in Mandarin and/or Cantonese * Experience designing for human factors * Experience designing and shipping products with Asia-based supply chains * MS or PhD in Mechanical Engineering Responsibilities * Lead the mechanical design for a particular component, feature or system while having end-to-end product development understanding * Contribute to mechanical solutions as part of a highly cross-functional team * Model, build, test, and refine prototypes and characterization test systems * Work across the full product development cycle, from concept inception to shipping product * Collaborate and manage work with Asia-based Supply Chain * Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams * Travel to external vendors up to 20% About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Reality Labs we aim to bring together cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing hardware systems for VR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration in domains other than mechanical engineering. Our teams support mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. **Required Skills:** Product Design Engineer Responsibilities: 1. Contribute to mechanical solutions as part of a highly cross-functional team 2. Model, build, test, and refine prototypes and characterization test systems 3. Work across the full product development cycle, from concept inception to shipping product 4. Collaborate and manage work with Asia-based Supply Chain 5. Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams 6. Travel to external vendors up to 20% **Minimum Qualifications:** Minimum Qualifications: 7. BS in Mechanical Engineering or equivalent industry experience 8. 2+ years of experience in related/relevant fields 9. Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, GD&T, and 3D/2D CAD 10. Working knowledge in material properties, such as plastics, metal, adhesive, and glass 11. Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.) 12. Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) 13. Proven technical communication skills **Preferred Qualifications:** Preferred Qualifications: 14. MS or PhD in Mechanical Engineering 15. 2+ years of product design and development experience of handheld and/or wearable high volume consumer electronics, including complex subsystems and/or full systems ownership 16. Experience with NX CAD 17. Experience with highly cosmetic products and working with Industrial Design 18. Fluency in a Mandarin and/or Cantonese language is preferred, as this role reviews regional content where usual language is in a regional language 19. Experience designing for human factors **Public Compensation:** $111,000/year to $164,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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.

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: ********************************************

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 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. **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: ********************************************

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. By leveraging modern cryptography, we shift the status quo around digital ownership and protect the accounts and assets of millions of users. Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you'll do As a fullstack engineer at Privy, you will take on large areas of ownership in Privy's product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamless developer experience Design and implement end-to-end product features driven by user needs Advocate for usability and interface coherence across our teams and products Enforce web development best practices across our entire product collaborating with other core stakeholders Minimum requirements 8+ years of experience. Deep knowledge of React, Typescript, Next.js Experience building and maintaining a production system at scale Prior experience working closely with a designer to iterate on a product An understanding of modern web development best practices Experience writing delightful developer documentation Preferred qualifications Strong preference for experience in an API-based business and in payments, fintech, or crypto. Written open-source developer tooling Published about your work (code, presentations, papers, blog posts, etc.) Past experience working closely with Design teams in authentication, security, or in web3

Who we are About Stripe Stripe's mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scalably and intelligently optimize across both. Machine learning is an integral part of almost every service at Stripe. It is a key investment area with products and use cases that span merchant and transaction risk, payments optimization, identity, and merchant data analytics and insights. We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants and Agents both for our customers (e.g. Radar Assistant and Sigma Assistant), and also to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company. About the team We are dedicated to building and shipping the foundational AI and machine learning systems that will power our entire product suite. Our mission is to fundamentally transform how Stripe uses ML, leveraging our extensive and rich dataset to solve some of the most challenging problems in payments and fraud. We work closely with our partners in Risk, Payments, and Support to build transformative technologies that have a direct impact on our users. From a data perspective, Stripe handles over $1.4T in payments volume per year, which is roughly 1.3% of the world's GDP. We process petabytes of financial data using our ML platform to build features, train models, and deploy them to production. We use a combination of highly scalable and explainable models such as linear/logistic regression and random forests, along with the latest deep neural networks from transformers to LLMs. Some of our latest innovations have been around figuring out how best to bring transformers and LLMs to improve existing models and also enable entirely new product ideas that are only made possible by GenAI. What you'll do As a Machine Learning Engineer on the ML Foundations team, you'll solve some of Stripe's most challenging technical problems that span multiple teams and directly impact our research and engineering efforts around building the Stripe Foundation Models, Assistants, and Agents. You'll be responsible for both hands-on technical contributions and driving strategic initiatives that shape how ML systems operate at scale across Stripe. Responsibilities * Develop foundation models for payments, merchants, and consumers that span Stripe product areas * Develop Universal AI Assistants and AI Agents to answer questions and automate tasks across Stripe products * Drive technical excellence through hands-on contributions to the design and development of state-of-the-art AI/ML systems, conducting architecture reviews, and maintaining high code quality * Partner with engineering and product leaders across Stripe to identify and prioritize foundational investments such as foundation models, assistants, and agents that unlock new capabilities for product teams * Contribute to Stripe's technical strategy by representing AI/ML engineering perspectives in company-wide technical decisions and roadmap planning * Mentor ML engineers across Stripe on ML systems design, helping teams navigate complex technical trade-offs, and adopt platform capabilities effectively Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements * 12+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models * Strong programming skills in languages used for ML systems (Python, Java, Scala, or Go) with demonstrated ability to write production-quality code * A strong builder mindset, with the ability to define a team's charter and lead the development of complex systems from scratch * Proven ability to shepherd large, complex ML projects and drive transformational change in an organization * Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods Preferred qualifications * A PhD or Master's degree with a research-oriented background, with the ability to dive into research papers and stay current with academic publications * Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media * Knowledge of the challenges and opportunities in applying ML to fraud prevention, merchant intelligence, or financial services * Published research or open source contributions in AI/ML or related fields In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $300,000 - $450,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. By leveraging modern cryptography, we shift the status quo around digital ownership and protect the accounts and assets of millions of users. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you'll do Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users. Who you are Minimum requirements * 8+ years of experience building and maintaining a production system at scale * An understanding of modern API development best practices and design * Experience in building data models, managing database migrations and best practices, and infrastructure configuration * An ability to thrive in a fast paced environment. * A growth mindset and a constant curiosity and fearlessness to dive into the unknown. * An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast. * Excellent written and verbal communication skills, including the ability to write clear technical documentation. Preferred qualifications * Strong preference for experience in an API-based business and in payments, fintech, or crypto. * Written open-source developer tooling * Published about your work (open source code, internal or external presentations, blog posts, etc.) * Past experience working in authentication or security In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $224,000 - $336,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.