Machining Engineer jobs at DoorDash

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career You will join a dynamic and fast-paced team of seasoned fellow engineers designing and developing multi-tiered applications in a rapidly growing company. As a Principal AI Engineer, you will leverage your extensive experience to act as the trailblazer, helping us build and innovate enterprise-grade full-stack systems with a specific focus on Generative AI transformation. We are looking for a highly hands-on, extremely technical leader to architect the next generation of our internal and external business applications. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) processes. Your Impact Lead the architecture and implementation of a Proxy-First "AI Gateway" intermediary layer to ensure seamless LLM vendor independence. Design and build a unified API endpoint to abstract LLM complexities and provide centralized control for access and security. Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs/outputs, and model latency. Create architecture to optimize performance and expense by intelligently routing simpler queries to cost-effective models. Integrate observability data into the development cycle to identify real-time bottlenecks, high-latency chains, and model drift. Institute and promote innovative thinking by incorporating Agentic AI, designing sophisticated Multi-Agent Systems and Agent-to-Agent (A2A) workflows. Apply GenAI to complex Go-To-Market (GTM) business logic, automating critical workflows like customer support and entitlement platforms. Pioneer "LLM as a Judge" testing methodologies to automate quality assurance of system outputs (correctness, tone, and helpfulness). Build robust guardrails to filter inputs and outputs, preventing PII exposure, offensive content, and prompt injection attacks. Develop detection mechanisms, including keyword filtering, behavioral analysis, and adversarial training, to protect model instructions from manipulation. Qualifications Your Experience 10+ years of overall IT system architecture, design, development, and deployment experience. Proven track record leading technical teams in Agile/Scrum environments for large-scale implementations with aggressive timelines. Experience partnering with business stakeholders to design workflows for Go-To-Market (GTM), sales, or support operations. Bachelor's degree or equivalent in Computer Science or a related field. Strong verbal and written communication skills with the ability to explain complex AI concepts to senior leadership. Extensive knowledge in building modern applications using Large Language Models (LLMs) such as Llama 3, GPT-4, and Anthropic. Deep experience building and maintaining highly observable GenAI systems, including proficiency with tracing and evaluation tools (e.g., LangSmith, Arize, HoneyHive, or custom OpenTelemetry). Deep experience with Multi-Agent systems, Agent-to-Agent (A2A) communication, and orchestration frameworks. Experience establishing "Golden Datasets" for ground truth testing and performing comparative analysis across different models. Expert-level proficiency in Python; familiarity with Java or Node.js for enterprise integration is a plus. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $167000 - $270500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

At indi GO Technologies (Tradename: “GO”), we are changing the electric vehicle paradigm with our own class of ultra-efficient electric vehicles for ride hailing and last-mile delivery use cases. The indi GO line of purpose-built EVs provides the smoothest, roomiest, and most affordable ride using patented SmartWheel technology. Our technology combines premium suspension, a spacious cabin, and low cost-per-mile performance to enable truly sustainable transportation. We are looking for a Senior Product Development Engineer / Product Manager to manage programs from concept through production, ensuring designs meet business, cost, quality, and manufacturability targets aligned to the corporate strategy and business plan. This role will work cross-functionally with business, engineering, manufacturing, and supply chain teams to ensure we deliver exceptional products on time and on budget. Responsibilities: Capture customer, business and product requirements for indi GO offerings and formulate an overall product roadmap for each product line. Establish programs and projects that formally scope and track cross-functional efforts from planning to design to production to release. Collaborate with leadership, business, R&D, engineering, and manufacturing to ensure a seamless production transition from prototype vehicles to full production environments at scale. Document and coordinate requirements with Testing and Compliance teams to ensure compliance with relevant safety and performance standards. Conduct root-cause analysis and lead the resolution of issues that jeopardize the schedule or budget. Maintain thorough documentation of projects, programs, change records, budgets, etc. associated with the role. Requirements: Bachelor's or Master's in mechanical, electrical, or automotive engineering. 7+ years in vehicle product development. Proficiency in product management and project management methodologies and tools. Proven ability to manage barriers to on-time/on-budget product releases including proficiency in engineering and manufacturing analysis Strong understanding of vehicle systems, integration, and manufacturability. Strong understanding of business planning, product launches and financial performance fundamentals. Strong leadership, communication, and strategic project management skills. Qualified candidates working from our EV facility and HQ in Woburn, MA (20-minutes from downtown Boston) are preferred and will be prioritized. Note that only experienced and qualified candidates should apply, and also state whether they can either work fulltime in Woburn MA or are open to relocation to the NorthEast area. We are looking for like-minded individuals on our movement to truly impact sustainability. Join us on our mission to change the EV paradigm! indi GO Technologies offers competitive salaries, stock options, flexible hours, and a 401K plan. We support a diverse engineering team, knowing that innovation truly thrives with a variety of backgrounds and experiences. Job Title and Compensation The salary range for this position is between $144,000 and $154,000, based on full-time employment. Actual salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and work location. Our open positions are based on job competencies that are specific to each role. If you are offered a position, the job title may be different from what is advertised to align with the role's competencies and your specific background, experience, and interview results. indi GO Technologies is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Employment Solutions is partnering with an established company to hire a Manufacturing Engineer to work onsite in Endicott, NY. This is a direct hire position with full benefits! Our client manufactures highly engineered products and mission-critical components for the Aerospace, Defense, Transportation and other industries. Salary range: $65K-90K The Manufacturing Engineer will be responsible for designing, implementing, and optimizing manufacturing processes. This includes collaborating with production teams, ensuring product quality, reducing waste, improving efficiency, and applying engineering principles to manufacturing solutions. This role involves a continuous effort to enhance processes, support product development, and maintain safety and compliance standards. Responsibilities Create and maintain work instructions and manufacturing specifications Identify and recommend methods for improving worker efficiency and reducing waste of materials and utilities Collaborate cross-functionally to facilitate production process and evaluate potential changes Qualifications Bachelor's degree in either Industrial or Mechanical Engineering At least 1 - 2 years' of engineering experience Relevant experience in a machining environment is highlydesirable. Expertise in CAD and CAM software(e.g., SolidWorks, AutoCAD), process simulation tools,and ERP systems. Ability to create and interpret technical drawings and 3D models. Understanding of G-Code and programming languages is a plus. Knowledge of measurement tools and techniques for ensuring part accuracy and quality. Familiarity with quality control standards and procedures. Strong understanding of manufacturing processes (e.g., machining, assembly,welding, molding, etc.). Knowledge of Lean manufacturing, Six Sigma, or other processimprovement methodologies is a plus. Interested? Let's chat! ***************************************

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

We are Continuum Solutions, a boutique strategic retained search firm based in Houston, Texas. We have partnered exclusively with our Houston area client to identify talent for the following position: Head of Product + Engineering for Internal Startup (On-Site: Northeast Houston, 77044) Our client is a well-capitalized developer building a large-scale, mixed-use master-planned community in Houston. They're looking for a Head of Product + Engineering to design and deploy the sensor, data, and software ecosystem that will power a truly “smart” urban environment-one that measures its own performance and improves how people live, work, and move through the space. If you love building novel hardware + software products, get excited about urban-scale data, and want to shape a next-generation “smart city” with a human-centric lens, this could be your role. What You'll Be Doing Designing and deploying a network of sensors across a large urban development-capturing, storing, and transforming real-world data into actionable insights. Building or buying the right tech stack: In some cases, engineering and prototyping custom sensors. In others, selecting best-in-class hardware, connectivity, and platforms. Owning decisions around networks, databases, and applications. Owning products from concept to deployment: taking several works-in-progress across the finish line and leading new greenfield initiatives. Leading strategic product planning: setting “goal-line” objectives for smart city products that align with business strategy. Defining scope, methodology, timelines, and budgets for each product iteration. Creating clear system designs and schematics that show how each product interfaces with the broader built environment. Curating a library of precedents and inspiration (people, places, products) and organizing site visits to convert research into firsthand experience. Building a network of top-tier partners: identifying and collaborating with leading innovators, consultants, and vendors (systems, engineering, architecture, traffic, programming, etc.). Immersing yourself in the Houston innovation ecosystem and representing the organization at community, networking, and industry events (some outside standard business hours). Driving internal alignment and adoption: Leading charrettes, visioning sessions, and trainings around new products. Owning UX, interfaces, and reporting outputs. Conducting due diligence on emerging technologies and maintaining a compendium of smart city tools, opportunities, and potential partners. Leading development of a smart city sensor database with the goal of democratizing data access across the organization. Partnering with internal teams to define “performance specifications” for various smart city applications (mobility, energy, environment, amenities, etc.). Running ad hoc analytics on existing datasets to uncover insights and inform future investments. What You Bring Deep technical foundation with practical, working knowledge across all seven OSI layers. Strong product/engineering leadership experience, including: Prior senior role leading product and/or application development. Proven ability to take novel products from idea → prototype → market. Hands-on systems mindset: fluent in both hardware and software tooling; naturally curious about new technologies and options. Track record of managing multiple projects and external teams at once, without dropping the details. Excellent communication skills (written, visual, and verbal) with the ability to explain complex systems to non-technical stakeholders. Strong analytical intuition around data-how to capture it, model it, and present it in ways that drive real decisions. Relationship builder: experience sourcing, evaluating, and nurturing partnerships with technology vendors, research groups, and other innovators. Who You Are You're passionate about changing how the world works, not just iterating on the status quo. You're comfortable turning fuzzy ideas into concrete, buildable products. You're fascinated by human behavior and how physical + digital environments shape it. You enjoy re-thinking digital infrastructure and data-gathering from first principles. You're familiar with smart city concepts (or excited to ramp up quickly). You genuinely enjoy building and sustaining strategic relationships across disciplines. Why This Opportunity Big canvas, real impact: help shape the technology backbone of a large, high-visibility master-planned community in one of the fastest-growing major metros. Stability + resources: well-funded, long-term development with committed ownership. Compensation & benefits: competitive pay, medical, dental, vision, PTO, long-term disability, 401(k) eligibility, and a modern office environment with thoughtful perks. Team environment: collaborative group of talented professionals committed to raising the bar for human-centered development.

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI , we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why we work with contributors from all over the world , who help improve AI models by providing expert human feedback . This data has led to AI advancements for the world's leading AI labs and large language model builders. We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. We are looking for native English speakers to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. Bachelor's degree or higher (or currently enrolled). Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses. Commitment to accuracy and ability to assess technical aspects of model outputs. Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

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.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we use data and machine learning to constantly iterate and innovate our product offering to create more value for the ecosystem. Faire is searching for a top-notch staff engineer to lead design and execution as we continue to build our machine learning platform that will power our wholesale marketplace. This role will architect and build scalable, reliable systems to enable seamless software driven machine learning deployment to improve Faire's core metrics. What You'll Do: Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to) “Machine-Learning-as-a-service” Feature store, including batch and real-time feature computation, serving, and monitoring Deep learning infrastructure that powers Faire's language and image models Model prediction services to manage model deployment, inference and monitoring Partner with our internal customers to understand their ML development pain points and craft platform solutions to address them Provide technical mentorship to ML engineers and interns on the team Help shape the long-term strategy and grow the team What it takes: 5+ years experience building production machine learning systems or platform components such as feature store, model training framework, ML prediction service etc Degree in a relevant discipline such as Computer Science, Machine Learning, or another similar field Strong coding skills in Python/Java or equivalent Experience working within common backend system architectures (e.g. microservices) Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation Salary Range San Francisco: the pay range for this role is $224,00 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

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. Within the Ads Delivery team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. We are looking for a Machine Learning Engineer/Economist with a strong theoretical and data analysis background that understands market design concepts and has the engineering skills to bring them to market. We are looking for an economist who can get their hands dirty and work side by side with other engineers, to advance the efficiency of the Pinterest Marketplace. The nature of projects within this team require a deep understanding of trade-offs, founded on both economic theory and data analysis, from the ideation phase all the way to launch review. What you'll do: * Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest. * Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes. * Define and implement experiments to understand long term Marketplace effects. * Develop strategies to balance long and short term business objectives. * Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations. * Application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings. What we're looking for: * Degree in Computer Science, Machine Learning, Economics, Operations Research, Statistics or a related field. * Industry experience in applying economics or machine learning to real products (e.g., ads auctions, pricing, marketplaces, or large‑scale recommendation/search systems). * Knowledge in auction theory, market design, and econometrics with excellent data analysis skills. * Strong software engineering and mathematical skills and proficient with statistical methods. * Experience with online experimentation and causal inference (A/B testing, long‑running experiments, or similar) in large‑scale systems. * Practical understanding of machine learning algorithms and techniques. * Impact‑driven, highly collaborative, and an effective communicator; prior ads or two‑sided marketplace experience strongly preferred. 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-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 $177,309-$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.

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are looking for our first Staff Machine Learning Engineer to establish and lead our machine learning initiatives. This is a critical, foundational role where you will have the unique opportunity to shape the future of data science and ML at Niche. You will be responsible for identifying high-impact opportunities, designing, building, and deploying machine learning models that directly drive business growth and enhance user experience across our platform. We are looking for a highly skilled, hands-on practitioner who is passionate about translating business challenges into data-driven solutions. You aren't just theoretical; you build, you code, you ship, and you measure. You have a proven history of deploying ML models into production environments that have delivered tangible results. You possess the experience and desire to mentor future ML hires and establish best practices as our capabilities grow. What You Will Do Identify & Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals. Our first area of focus is our Recommendations, which includes matching students with the right schools Design & Build: Lead the end-to-end development of machine learning models - from data collection and feature engineering to algorithm selection, training, tuning, and validation. This is a hands-on coding role Deploy & Integrate: Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance. Integrate models effectively into Niche's products and internal systems Measure & Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentation Champion & Evangelize: Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning & data science across the organization Lead & Mentor: Establish ML development best practices, coding standards, and documentation. As the function grows you will guide and mentor other ML engineers Innovate: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to Niche During the First Month: Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings Deep-dive into Niche's platform, data architecture, and recommendation systems Align with product and engineering teams on business goals and ML impact areas Begin shaping a roadmap for high-impact ML opportunities Within 3 Months: Deploy your first machine learning model into production with robust monitoring and feedback loops Collaborate with product and engineering to define success metrics and integration strategies Establish early ML development workflows, documentation, and performance monitoring Contribute production-ready code for feature engineering and model experimentation Within 6 Months: Drive measurable improvements through experimentation and model iteration Introduce scalable MLOps practices to support deployment, retraining, and governance Serve as a mentor and set engineering best practices for a growing ML function Within 12 Months: Lead ML efforts across multiple product areas, driving business impact at scale Influence company-wide strategy through technical leadership and ML evangelism Develop internal tooling, reusable frameworks, and scalable ML systems Help grow the team through hiring, mentorship, and a culture of innovation What We Are Looking For Experience: 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environment Proven Impact: Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e.g., increased user engagement, conversion rates, operational efficiency, revenue). You can clearly articulate the business problem, the ML solution, and the quantitative impact achieved Technical Depth (Hands-On): Expertise in Python and common ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost) Deep understanding of core ML concepts (e.g., classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation) Strong SQL skills and experience working with large datasets and data processing tools (e.g., Pandas, Spark) Experience with ML deployment patterns and MLOps principles (e.g., model serving, monitoring, CI/CD for ML, feature stores) Familiarity with cloud platforms (AWS, GCP, Azure) is essential Business Acumen: Strong ability to understand business needs, translate them into well-defined ML problems, and connect technical work back to strategic objectives. You prioritize work based on potential business impact Leadership Experience: Experience or a strong aptitude for leading technical projects, defining technical direction, and mentoring others. Excellent communication and collaboration skills Education: MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning Bonus Points Experience building ML capabilities from the ground up Experience with recommendation systems, search ranking algorithms, or NLP applied to user-generated content Experience in the EdTech or consumer-facing platform space Familiarity with golang, express, Postgres, Snowflake, DBT, and Tableau Contributions to open-source ML projects or publications in relevant conferences/journals Compensation Our national target base salary range is $152,320-$215,000, plus participation in our Annual Bonus and Stock Option Program. Base compensation will be commensurate with experience and skills. At Niche, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains top talent by providing a comprehensive and competitive rewards package. This philosophy is built on the principles of performance-based compensation, best-in-class benefits and work-life balance, and employee well-being. Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: Phone Screen with Talent Acquisition Partner - 30 Minutes Video Interview with Hiring Manager - 45 Minutes Case Study + Presentation and System Design Team Interview - 45 Minutes Leadership Interview - 30 Minutes Why Niche? We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits you Full time, salaried position with competitive compensation in a fast-growing company Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage Flexible Paid Time Off Policy Stipend that allows you to build your work from home office in a style and function that suits your personal preferences Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents Meaningful 401(k) with employer match Your ideas and work will make an immediate impact on our company and millions of users You will join a team that cares about you, our mission, our work - and celebrates our wins together! Niche will only employ those who are legally authorized to work in the United States without sponsorship now or in the future for this opening. We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV. Candidates only. No recruiters or agencies, please. Sorry, we do not offer relocation assistance. Niche is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Quality team is focused on making Pinterest search fast, personalized, and relevant for the billions of monthly searches. We seek a Tech Lead for ranking who can drive cross-team engineering efforts to deliver ML-driven product experiences to our Pinners. This role offers the opportunity to work on innovative projects, build large-scale low-latency systems and state-of-the-art machine learning models, and significantly impact our Pinners and business metrics. What you'll do: Build foundational models to do semantic search relevance. Work with teams responsible for search full-stack to improve relevance at each stage. Develop relevance focused signals (e.g. VLM based embeddings) that can be used in multiple models across the search stack. Contribute towards the strategic vision and technical direction of highly visible initiatives. Mentor a team of 5 engineers. Work cross functionally with adjacent teams to drive cohesive modeling across the business. What we're looking for: Languages: Python, Java. Machine Learning: PyTorch, TensorFlow. Big data processing: Spark, Hive, MapReduce. Experience with search and in particular semantic relevance modeling (Preferred). Hands on experience leveraging LLMs and VLMs to drive product impact. Strong modeling skills and experience working on problems like online/offline bias, scaling models, etc. Experience with large scale systems. Exposure to Generative AI models. Bachelors 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. 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

Within the Ads Performance and Ads Delivery teams, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. 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 currently hiring for multiple Staff Machine Learning Engineer roles across our Ads Machine Learning teams within Monetization Engineering. As a Staff Machine Learning Engineer, you will lead innovation across a spectrum of cutting-edge technologies vital to our advertising ecosystem, and drive the development of state-of-the-art applied machine learning systems. The scope of the work includes evolving our machine learning technology stack for ads ranking, building the next generation of scalable ads retrieval models, and powering discovery for millions of shoppers, and more. This is a high-impact opportunity to shape the future of Pinterest Shopping Ads, directly impacting user experience and advertiser success in a unique discovery-driven marketplace. What you'll do: Design features and build large-scale machine learning models to improve user ads action prediction with low latency Drive innovation in personalized Shopping Ads recommendations through advanced modeling Develop new methods for inferring user interests from online and offline activity Mine text, visual, user signals to better understand user intention Leverage multimodal signals (text, visual, user) to better understand user intent Collaborate with product and sales teams to design and implement new ad products Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking What we're looking for: MS or PhD degree in Computer Science, 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 and mentoring team members Strong mathematical skills with knowledge of statistical methods Excellent written and verbal communication skills and strong cross-functional collaboration Background in computational advertising is a plus, but not required This position is not eligible for relocation assistance. #LI-HYBRID #LI-SM4

The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. ATG's goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type. We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You'll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you'll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest. Mentor junior engineers on the Responsible AI team and across the company on the R-AI space. Work with the team and senior leaders at the company to define and drive technical strategy in this area. What we're looking for: Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations. Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems. Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 2+ years experience leading cross-team engineering efforts. Masters or PhD in Comp Sci or related fields Desired skills: Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences. Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows. Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale. 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-AK7 #LI-REMOTE

As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients. Essential functions: Read, understand, and utilize 3rd party documentation of code (repos) and theoretical advances (papers). Build systems for functionality, scalability, and maintenance. Adapt machine learning algorithms and libraries (Deep Neural Nets, Reinforcement Learning, Imitation Learning) for our applications. Required Education, Experience, and Qualifications: 3 years experience or Masters + 1 year Skilled in Python, with familiarity with PyTorch, HuggingFace, LeRobot or similar libraries. Familiarity with cloud computing infrastructure such as GCP or AWS Excellent analytical and communication skills Preferred Education and Experience: 5+ years experience Previous work with industrial robots Position Type/Expected Hours of Work Full-Time 40/hours per week M-F, 9:00am-6:00pm. Travel Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments. Work Authorization Must be able to provide documentation that shows authorization to legally work in the U.S. Pay and Benefits: The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position. Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program. This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location. Applications will be accepted through the end of November 2025.

Job DescriptionSalary: As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients. Essential functions: Read, understand, and utilize 3rd party documentation of code (repos) and theoretical advances (papers). Build systems for functionality, scalability, and maintenance. Adapt machine learning algorithms and libraries (Deep Neural Nets, Reinforcement Learning, Imitation Learning) for our applications. Required Education, Experience, and Qualifications: 3 years experience or Masters + 1 year Skilled in Python, with familiarity with PyTorch, HuggingFace, LeRobot or similar libraries. Familiarity with cloud computing infrastructure such as GCP or AWS Excellent analytical and communication skills Preferred Education and Experience: 5+ years experience Previous work with industrial robots Position Type/Expected Hours of Work Full-Time 40/hours per week M-F, 9:00am-6:00pm. Travel Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments. Work Authorization Must be able to provide documentation that shows authorization to legally work in the U.S. Pay and Benefits: The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position. Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program. This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location. Applications will be accepted through the end of November 2025.