Machine Learning Engineer, Core Engineering at Pinterest

About Pinterest:At Pinterest, we empower millions globally to discover creative ideas and realize their aspirations. Our mission is to inspire everyone to craft a life they love, and this begins with the talented individuals behind our platform.Join us for a career that ignites innovation for millions, transforms passion into professional growth, celebrates diverse experiences, and embraces flexibility for optimal performance. Creating a fulfilling career? It's possible.Pinterest is a place where Pinners find and engage with what they love. Our Core Engineering team is central to the Pinterest experience, influencing the journey of over 500 million monthly Pinners. We seek a skilled Engineering Manager II in Machine Learning who can steer our team’s technical direction and strategic planning. You will lead projects that involve creating new product experiences, developing large-scale low-latency systems, and implementing cutting-edge machine learning models that significantly impact our users and business metrics.

Join Pinterest as a Senior Machine Learning Engineer specializing in Responsible AI. In this role, you will leverage your expertise to drive innovative applied research in machine learning, ensuring the responsible and ethical use of AI technologies. Collaborate with cross-functional teams to develop advanced algorithms and contribute to large-scale projects that impact millions of users around the globe.

Join tvScientific as a Machine Learning Engineer where you will leverage cutting-edge machine learning techniques to enhance our advertising platform. You will be responsible for developing and optimizing algorithms that drive effective ad targeting and analytics. Collaborate with cross-functional teams to integrate machine learning solutions that improve user engagement and maximize return on investment for our clients.

tvScientific seeks a Machine Learning Platform Engineer to help shape the company’s advertising technology. This position can be based in San Francisco, CA, or performed remotely from anywhere in the United States. Role overview This role focuses on building and refining machine learning models that drive the core of tvScientific’s advertising platform. The work combines technical skill with creative problem-solving to support the platform’s effectiveness. What you will do Develop and optimize machine learning models to enhance advertising performance Collaborate with team members to deliver solutions that balance innovation, scalability, and reliability Apply technical expertise to address challenges at the intersection of technology and creative thinking Location Candidates may work from San Francisco, CA, or remotely within the US.

Join Pinterest as a Manager II in Machine Learning Engineering and lead a team of talented engineers and data scientists in developing innovative machine learning solutions. You will play a crucial role in driving the technical direction of our projects, ensuring the delivery of high-quality models and algorithms that enhance user experience and engagement. You will collaborate with cross-functional teams and stakeholders to understand business needs and translate them into technical requirements.

About Pinterest:At Pinterest, we are dedicated to inspiring millions around the globe to discover creative ideas, envision new possibilities, and create lasting memories. Our mission is to empower everyone to cultivate a life they love, and this begins with the passionate individuals who drive our product.Join us to ignite innovation for millions, transform your passions into growth opportunities, celebrate diverse experiences, and embrace the flexibility to excel in your role. It’s possible to build a career you love here!Pinterest boasts over 600 million users and 300 billion ideas saved. Our Machine Learning Engineers craft personalized experiences that help users on their journey to creating a fulfilling life. With a global team size of just over 4,000, our nimble teams are continuously evolving. At Pinterest, you will have hands-on access to a wealth of data and contribute to large-scale recommendation systems in a unique environment.As part of the Monetization ML Engineering team, your role will involve bridging the aspirations of Pinners with the offerings of our partners. You will be tasked with defining and implementing a vision for the advancement of our machine learning technology stack within the Ads domain.

About Pinterest:At Pinterest, we inspire millions globally to explore creative ideas and envision lasting memories. Our mission is to empower everyone to create a life they love, and that journey begins with our talented team.Join a workplace where innovation thrives, passion drives growth, and every unique experience is celebrated. With a culture that embraces flexibility, we enable you to do your best work and build a fulfilling career.As a part of Pinterest's vibrant community of over 500 million users and 300 billion ideas saved, our Machine Learning engineers play a pivotal role in crafting personalized experiences that empower Pinners to create their ideal lives. With a nimble team of just over 4,000 employees worldwide, we provide unparalleled access to extensive data and opportunities to contribute to large-scale recommendation systems.Within the Monetization ML Engineering team, you will bridge the gap between the aspirations of Pinners and the offerings of our partners. In this pivotal role, you will lead the vision for advancing the machine learning technology stack in our Ads division.

Pinterest seeks a Senior Staff Machine Learning Engineer to drive content quality efforts in San Francisco, CA. This position plays a key role in setting the standards for what appears on the platform, helping to build and sustain user trust in the content experience. Key Responsibilities Design and improve machine learning algorithms that assess and enhance the quality and relevance of content on Pinterest. Collaborate with product and engineering teams to ensure high-quality material is surfaced for users. Support initiatives that foster a positive and trustworthy content experience for the Pinterest community. Impact the daily interactions of millions of users through your technical contributions. Collaboration This role works closely with cross-functional partners across product and engineering to shape the way content is evaluated and presented on the platform.

About Pinterest:At Pinterest, we empower millions of users to discover creative ideas, envision new possibilities, and curate memories that last a lifetime. Our mission is to inspire everyone to create a life they love, driven by the passion and creativity of our dedicated team.Join a vibrant career where you can ignite innovation for millions, turn your passion into growth opportunities, and celebrate diverse experiences while enjoying the flexibility to perform at your best. Building a career you love is within reach.With over 500 million global users and 300 billion ideas saved, our Machine Learning engineers are at the forefront of creating personalized experiences that enhance how Pinners interact with our platform. With a team of just over 3,000 talented individuals, you'll have unparalleled access to a wealth of data and contribute to large-scale recommendation systems like never before.

Join Our Mission to Empower Communities! At GoFundMe, we are the leading global platform dedicated to helping people support each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising, uniting individuals and nonprofits in a safe and engaging environment. We are seeking a passionate and experienced Senior Manager, Machine Learning Engineering to join our Applied Science team. In this pivotal role, you will spearhead a dynamic team tasked with creating impactful machine learning solutions that enhance user experiences and drive business growth. Your responsibilities will include designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI methodologies, such as generative AI, personalized recommendations, search systems, and classification techniques. This position requires exemplary leadership capabilities to ensure both strategic vision and tactical execution, backed by your extensive knowledge of machine learning, AI, and secure software practices. This role is based in the vibrant San Francisco Bay Area, with an expectation of being in the office three times a week.

About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.

About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.

At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

At Lyft, we are driven by our mission to connect and serve our communities. We strive to foster a workplace where every team member feels valued and has the opportunity to excel. With over half a billion rides and counting, Lyft is tackling complex challenges on a grand scale, utilizing cutting-edge AI and Machine Learning technologies to enhance customer experiences. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in constructing AI Platform components that empower essential AI applications across Lyft. Mastery in Generative AI and platform development is crucial for this position. You will contribute to our platform that facilitates real-time, online, and offline AI and ML model execution, development, and iteration. Collaborating with a team of talented Machine Learning and Software Engineers, you will work on intricate problems and define solutions that make a direct impact on our systems throughout the organization. If you are enthusiastic about building an AI Platform at scale with applications spanning every aspect of our company, we want to hear from you. If you are a creative thinker with a strong background in AI and machine learning systems and are passionate about leveraging data to solve business challenges in a dynamic, innovative, and collaborative environment, we invite you to apply.

Join Pinterest as a Senior Security Software Engineer within our Corporate Security team, where you will play a critical role in safeguarding our platform and users. In this position, you will design, develop, and implement innovative security solutions that protect against emerging threats. You will collaborate with cross-functional teams to ensure the highest security standards are maintained across all systems and processes.

Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

About ApiphanyApiphany is an innovative AI company dedicated to advancing physical product development. We empower global leaders in industries such as automotive, aerospace, medtech, and energy to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexity for the world's premier manufacturers.Our models are meticulously crafted to address the unique challenges of engineering and manufacturing. They are designed to comprehend principles of physics, design specifications, and program constraints. Our team is a select group of experts from prestigious institutions like Stanford, Berkeley, MIT, UW, and CMU, alongside veterans from GM, Ford, and Genesis Therapeutics. We are committed to redefining hard-tech and constructing a category-defining enterprise together.About the RoleAs a Machine Learning Engineer at Apiphany, you will architect and deploy cutting-edge machine learning models to address some of the most intricate challenges within the physical domain. You will create systems capable of reasoning with complex engineering data, developing AI that grasps physics, design limitations, and real-world performance trade-offs.This role is tailored for innovators eager to expand the horizons of AI applications in the tangible world.

About Pinterest:At Pinterest, we strive to empower individuals worldwide to explore creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to craft a life they love, and this journey begins with the talented people behind our platform.Join us in a career that fuels innovation for millions, transforms passion into growth, celebrates diverse experiences, and embraces the flexibility to perform at your best. Crafting a career you cherish? It’s entirely possible.We are seeking a visionary Director of Machine Learning to spearhead the ML function within our Growth organization. This leader will outline the long-term ML vision, strategy, and operational framework that drives user engagement and growth across Pinterest's platforms.You will manage several teams of machine learning engineers and managers, addressing essential Growth challenges such as activation, retention, notifications, SEO, paid acquisition, and lifecycle personalization. Your role will blend deep technical expertise with strong leadership and product intuition to implement industry-leading practices in recommendation systems, ranking algorithms, experimentation, deep learning, and generative AI. As the Director of Machine Learning for Growth, you will oversee the health, performance, and evolution of our ML ecosystems, ensuring our technology meets the business and product requirements vital for making Pinterest an engaging and inspiring platform for everyone. This entails:Collaborating with senior Product, Data Science, and Engineering leaders to define and execute a multi-year strategy for Pinterest’s Growth systems.Establishing a cohesive ML architecture and roadmap for Growth that leverages shared platforms while enabling rapid iteration.Building, nurturing, and retaining a world-class team of machine learning leaders and engineers.Serving as a prominent thought partner and advocate for Growth ML among executives and cross-functional stakeholders.You will also cultivate a healthy and inclusive community where ML practitioners across Growth can learn best practices, collaborate efficiently, and align with our technical direction.