Machine Learning Engineer - Growth at Whatnot | San Francisco

Whatnot is looking for a Machine Learning Engineer focused on Growth to help shape the platform’s direction. This position is based in San Francisco, CA. Role overview This role centers on developing and applying machine learning solutions that support user experience improvements and drive business growth. Expect to work on projects that directly impact how users interact with the platform and contribute to key growth initiatives. What you will do Design and build machine learning models tailored to growth-related challenges Collaborate with teams to deliver solutions that improve user engagement Apply technical expertise to solve complex problems in a growing company Who this role suits This position is well-suited for engineers who are eager to take on new challenges and enjoy working in an environment where their work has a visible impact on business outcomes.

Whatnot is looking for a Machine Learning Engineer focused on Growth to strengthen data-driven decisions and support platform expansion. This position is based in San Francisco, CA. Role overview This role centers on developing machine learning solutions that help drive growth and refine user experiences. The work involves analyzing large and complex data sets, building predictive models, and implementing algorithms to improve platform performance. Collaboration Machine Learning Engineers in this role work closely with cross-functional teams. Expect to partner with colleagues across product, engineering, and analytics to translate business needs into technical solutions. Key responsibilities Analyze data to uncover trends and insights that inform product direction Develop and deploy predictive models to support growth initiatives Implement algorithms that optimize platform performance and user experience

Whatnot is a livestream shopping marketplace connecting buyers and sellers across categories such as trading cards, fashion, electronics, and live plants. The platform supports sellers in building real businesses and is shaping live commerce at scale in North America and Europe. The team works as a distributed group with members based in the US, UK, Ireland, Poland, Germany, and Australia. Agility, user focus, and meaningful work are central to the company culture. Whatnot has been recognized among the fastest growing marketplaces and was named the #1 Best Startup Employer in America by Forbes. Learn more about Whatnot through these resources: Core Values NYT: Fastest Growing Marketplaces Forbes: Best Startup Employer Whatnot News Engineering Blog Role overview The Software Engineer - Machine Learning Infrastructure role centers on building and improving the systems that support machine learning and self-hosted large language model applications at Whatnot. This position involves close collaboration with machine learning scientists to bring advanced models into production, directly enabling new product features and experiences. What you will do Design and develop infrastructure for reliable and efficient machine learning at scale Work on low-latency serving of large models Support distributed training and high-throughput GPU inference Help advance Whatnot’s mission to unlock new capabilities through AI and machine learning Location San Francisco, CA

Role overview Whatnot seeks a Software Engineer specializing in Machine Learning Infrastructure to develop and maintain the systems powering its machine learning applications. This position is based in San Francisco, CA and centers on building the technical backbone that supports machine learning efforts across the company. What you will do Develop and improve frameworks that enable machine learning throughout Whatnot’s platforms. Collaborate with teams from multiple disciplines to design infrastructure that can scale as needs grow. Support seamless integration of machine learning models into existing products.

Join Whatnot as a Machine Learning Platform Engineer, where you'll play a pivotal role in shaping the future of our AI-driven solutions. In this dynamic position, you will collaborate with cross-functional teams to design, implement, and optimize machine learning platforms that drive efficiency and innovation.Your expertise will be critical in enhancing our data processing capabilities and deploying robust machine learning models at scale. If you are passionate about leveraging cutting-edge technology to solve complex challenges, we want to hear from you!

Join Whatnot as a Software Engineer specializing in Data. In this pivotal role, you will harness your technical expertise to develop innovative solutions that enhance our data capabilities. Collaborate with cross-functional teams to design, implement, and optimize data-driven applications that will support our growing user base.The ideal candidate will have a passion for technology and a drive to improve processes through data insights. This is a unique opportunity to shape the future of our platform and make a significant impact on our business.

Join Whatnot as a Fullstack Engineer focusing on Seller Growth. In this role, you'll harness your expertise in both frontend and backend technologies to drive innovative solutions that enhance our seller platform.As a vital member of our team, you will collaborate closely with cross-functional teams to develop features that empower sellers, optimize their experience, and help grow their businesses on our platform.

As an Executive Recruiter at Whatnot, you will play a pivotal role in shaping our team by identifying and attracting top-tier talent. Your expertise in recruitment will help us build a diverse and high-performing workforce. You will collaborate closely with hiring managers to understand their needs and develop effective sourcing strategies. Your ability to engage candidates and promote our company culture will be key to our success.

Join Whatnot as a Data Engineer specializing in Notifications. In this role, you will be pivotal in enhancing our notification systems to deliver real-time updates and improve user engagement. Your expertise will help shape our data architecture and optimize our processes, ensuring we provide the best experiences for our customers.

Whatnot is seeking a dynamic Leadership Recruiter to join our innovative team in San Francisco. In this role, you will be responsible for identifying and attracting top-tier leadership talent that aligns with our company culture and strategic goals. You will work closely with hiring managers to understand their needs and develop tailored recruitment strategies that drive results.

Embark on a Journey with Whatnot - The Future of Commerce!Whatnot stands as the premier livestream shopping platform across North America and Europe, where enthusiasts can buy, sell, and explore their favorite items. From trading cards to fashion, electronics, and even live plants, our platform empowers sellers to create genuine businesses across a myriad of categories. We are pioneering live commerce in the West, crafting an industry without a blueprint, and our team is pivotal in shaping this exciting frontier.Operating as a remote co-located team, we draw inspiration from our core values while maintaining hubs in the US, UK, Ireland, Poland, Germany, and Australia. Our agility allows us to stay close to our users and prioritize impactful work.Recognized as one of the fastest-growing marketplaces, we are proud to have been named the #1 Best Startup Employer in America by Forbes. Stay updated with Whatnot by checking our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering community through commerce. Your RoleAs a Recruiter on our Early Talent team, you will collaborate with various departments to establish strategic recruitment processes, enhance our brand presence, and build enduring relationships with emerging talent worldwide.Collaborate with engineering hiring managers to devise targeted hiring strategies that attract top early-career talent.Oversee the complete recruitment process, including conducting interviews, managing offers, and supervising intern programs.Serve as a brand ambassador for Whatnot at university and early-career events, with travel required during peak campus times.Refine the early talent recruiting process by gathering and implementing feedback from candidates and other insights.Foster long-term relationships with high-potential candidates by understanding their aspirations and aligning them with opportunities at Whatnot.

Be Part of the Next Wave in Commerce with Whatnot!Whatnot stands as the largest livestream shopping platform across North America and Europe, empowering users to buy, sell, and discover cherished items. From trading cards to fashion, electronics, and even live plants, our sellers are crafting genuine businesses across a multitude of categories. We are pioneering live commerce on a scale previously unseen in the Western market, creating a new industry framework from the ground up.Our remote co-located teams are driven by our core values and are strategically positioned in hubs throughout the US, UK, Ireland, Poland, Germany, and Australia. We prioritize speed, maintain close connections with our users, and concentrate on impactful work.Recognized as one of the fastest-growing marketplaces, Whatnot has recently been honored as the #1 Best Startup Employer in America by Forbes. Stay updated with our latest news through our blog and engineering insights, and join us in transforming passion into business and uniting people through commerce. Role OverviewIn the role of Early Talent Recruiter, you will collaborate with various teams across the organization to create innovative recruitment strategies, enhance our employer brand, and foster enduring relationships with early talent worldwide.Work closely with hiring managers in Engineering to devise focused hiring strategies that attract premier early career talent.Oversee the complete recruitment process—conducting interviews, managing offers, and supervising intern programs.Serve as a Whatnot brand ambassador at university and early career events, with required travel during peak campus recruitment seasons.Enhance the recruitment experience by integrating candidate feedback, refining the early talent hiring process for optimal results.Cultivate lasting connections with high-potential candidates by understanding their aspirations and career goals.

Join Whatnot as a Senior Technical Recruiter, where you will play a crucial role in shaping our engineering teams by attracting and hiring top-tier talent. Your expertise in technical recruitment will drive our growth and innovation as we strive to build an exceptional platform for our users.In this role, you will collaborate closely with hiring managers, develop sourcing strategies, and engage with candidates to ensure a seamless hiring process. You will be instrumental in enhancing our employer brand and ensuring a positive candidate experience.

Step into the Future of Commerce with Whatnot!Whatnot stands as the premier livestream shopping platform across North America and Europe, dedicated to helping enthusiasts buy, sell, and discover their favorite items. From trading cards to fashion, electronics to live plants, our diverse sellers are crafting genuine businesses across an array of categories. We’re pioneering live commerce on an unprecedented scale in the West, charting a course that has never been navigated before. The talent here is actively shaping the evolution of a groundbreaking industry.As a dynamic remote co-located team, we are inspired by our core values and are anchored in hubs throughout the US, UK, Ireland, Poland, Germany, and Australia. We prioritize agility, maintain close connections with our users, and focus on impactful work.Recognized as one of the fastest-growing marketplaces, Whatnot has also been honored as the #1 Best Startup Employer in America according to Forbes. Stay updated on Whatnot’s latest developments through our news and engineering blogs as we empower individuals to transform their passions into flourishing businesses and unite people through commerce. Your Role and ResponsibilitiesEnhance Onboarding Operations. Oversee the entire onboarding process including welcome communications, I-9 verification, swag distribution, and IT setup. Continuously refine the process as our team expands.Facilitate In-Person Orientation. Work alongside Talent Programs to design and implement engaging onboarding experiences at our San Francisco hub.Drive Cross-Functional People Ops Initiatives. Collaborate with Finance, Total Rewards, IT, Legal, Recruiting, and People Business Partners to strategize and execute key People Ops projects.Ensure Data Integrity. Manage Workday transactions related to job changes, departures, and compensation updates, maintaining accurate and audit-ready records.Develop Scalable Processes. Identify and address gaps in onboarding, offboarding, and core People Operations functions.

About MercorAt Mercor, we're revolutionizing the future of work. We collaborate with top AI labs and enterprises to deliver the human insights crucial for AI development.Our extensive talent network trains cutting-edge AI models, much like educators nurture students: by imparting invaluable knowledge, experience, and context that transcends mere code. Currently, over 30,000 specialists in our network collectively generate more than $2 million daily.Mercor is pioneering a new category of work where expertise fuels AI progress. Achieving this vision requires a dynamic, fast-paced, and deeply dedicated team. You’ll collaborate with researchers, operators, and AI companies at the forefront of transforming systems that redefine society.As a profitable Series C company valued at $10 billion, we operate on-site five days a week in our offices located in San Francisco, NYC, or London.About the RoleIn your role as a Machine Learning Engineer on the growth team, you will develop the infrastructure that powers Mercor’s hiring engine: from indexing and global discovery to cross-platform sourcing and engagement, real-time scoring and personalization, and high-throughput conversion pipelines that transform interest into hires.What You Will Build:Low-latency ranking and matching pipelines that process thousands of signals.Global off-platform people search, job distribution, and ad/acquisition infrastructure.Production ML and feature infrastructure for personalization and incentive modeling.Real-time event and data pipelines, high-throughput APIs, and observability for mission-critical services.Who We Are Looking For: We seek engineers with a strong background in building distributed backends or ML infrastructure, demonstrated ownership of large-scale matching, indexing, recommender, or search systems; robust instincts for production, and experience with high-throughput services, monitoring, and reliability.Why Join Us: If you are looking for backend work that combines ML, distributed systems, and real revenue impact, the Growth team is where you belong.Tech Stack: Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform

Be a Part of the Revolution in E-Commerce with Whatnot!Whatnot stands as the leading live shopping platform across North America and Europe, where you can buy, sell, and explore the items you cherish. We are transforming the landscape of e-commerce by merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As a remote-first team, we are driven by innovation and firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to a diverse audience.And this is just the beginning! As one of the fastest-growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers in all areas of our business. Stay updated with the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into successful ventures while fostering community through commerce. The RoleWe are seeking passionate builders—intellectually curious, entrepreneurial engineers who are ready to pioneer the future of AI and ML at Whatnot. You will be responsible for designing and scaling the foundational infrastructure that supports machine learning and self-hosted large language model applications throughout the organization. Collaborating closely with machine learning scientists, you will facilitate the deployment of cutting-edge models into production, creating entirely new product experiences. Your work will involve constructing systems that ensure advanced machine learning is reliable and efficient at scale—from low-latency model serving to distributed training and high-throughput GPU inference.Your Responsibilities:Lead the infrastructure that powers AI and ML models across vital business domains—enhancing growth, trust and safety, fraud detection, seller tools, and more.Prototype, deploy, and operationalize innovative ML architectures that significantly influence user experience and marketplace dynamics.Design and scale inference infrastructure capable of managing large models with minimal latency and maximal throughput.Construct distributed training and inference pipelines utilizing GPUs, as well as model and data parallelism.Push the boundaries of your expertise and explore new technologies and methodologies.

Join Whatnot as a Data Engineer specializing in Notifications, where your expertise will drive impactful data solutions. You'll be responsible for designing, building, and optimizing our data systems, ensuring reliable notifications for our users. In this role, you will collaborate with cross-functional teams to enhance user engagement through data-driven insights.

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.

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.