Software Engineer - Machine Learning Infrastructure at Whatnot | San Francisco

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.

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.

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 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!

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

Company Overview At Specter, we are pioneering a software-defined "control plane" designed to enhance the real-world perception of physical assets. Our mission begins with safeguarding American businesses by providing them with comprehensive insights into their physical environments.To achieve this, we are developing a robust hardware-software ecosystem leveraging multi-modal wireless mesh sensing technology. This innovation allows us to significantly reduce the cost and time involved in sensor deployment by a factor of ten. Ultimately, our platform aims to serve as the perception engine for businesses, facilitating real-time visibility and autonomous management of their operational perimeters.Our co-founders, Xerxes and Philip, are deeply committed to empowering our partners in the rapidly evolving landscape of physical AI and robotics. We are a dynamic, rapidly expanding team comprised of talent from Anduril, Tesla, Uber, and the U.S. Special Forces.Position Overview Specter is seeking a dedicated Machine Learning Infrastructure Engineer to construct and optimize the ML systems that drive real-time perception and inference capabilities across our edge-cloud platform. This position will involve overseeing the training, deployment, and enhancement of computer vision and sensor fusion models, aimed at enabling autonomous monitoring and decision-making for our clients' physical assets.Key Responsibilities Include:Design and implement scalable ML training pipelines for computer vision applications, including object detection, tracking, classification, and segmentation.Develop efficient model serving infrastructures to facilitate real-time inference on edge devices with limited computational and power resources.Optimize models for deployment on embedded hardware, employing techniques such as quantization, pruning, TensorRT, ONNX, and CoreML.Create continuous training and evaluation systems to enhance model performance through feedback loops derived from production data.Establish data pipelines for the ingestion, labeling, versioning, and management of extensive multi-modal sensor datasets, including video, radar, lidar, and thermal data.Implement model monitoring frameworks, A/B testing methodologies, and performance analytics for deployed perception systems.Collaborate with perception researchers to transition models from research environments to scalable production across thousands of edge nodes.Construct tools and infrastructure for distributed training, hyperparameter optimization, and experiment tracking.

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.

Join Decagon as a Staff Software Engineer specializing in Machine Learning Infrastructure. In this role, you will play a crucial part in enhancing and optimizing our machine learning systems. You will collaborate with a talented team of engineers to build scalable and efficient infrastructure that supports our AI-driven initiatives.As a key contributor, you will leverage your expertise in software engineering and machine learning to solve complex challenges and drive innovation. Your work will impact various projects and help shape the future of our technology.

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.

Join Decagon as a Senior Software Engineer specializing in Machine Learning Infrastructure. In this pivotal role, you will be responsible for designing and optimizing systems that support machine learning models and applications. Your expertise will help drive innovation and efficiency in our ML pipelines, ensuring that our algorithms are fast, scalable, and reliable.You'll collaborate with cross-functional teams to implement cutting-edge solutions that enhance our product offerings. If you are passionate about advancing machine learning technologies and thrive in a dynamic environment, we want to hear from you!

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.

Role Overview Voxel is hiring a Senior or Staff Software Engineer focused on Machine Learning Infrastructure in San Francisco, CA. This position centers on building and maintaining scalable infrastructure that supports the company’s machine learning products and services. What You Will Do Design, develop, and maintain machine learning infrastructure for production systems Work with teams across engineering, product, and data to streamline ML workflows Optimize systems for performance, reliability, and operational efficiency Collaboration This role involves frequent collaboration with colleagues from multiple disciplines to ensure machine learning solutions are robust and scalable.

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.

Rockstar is on the hunt for a talented Backend Software Engineer to join a rapidly expanding startup that is pioneering the AI infrastructure for the next generation of smart products. This innovative company specializes in providing AI startups with the tools to design, fine-tune, evaluate, deploy, and maintain their specialized models across various domains like text, vision, and embeddings. Think of them as the 'AWS for AI models'—offering a comprehensive backend solution for fine-tuning, reinforcement learning, inference, and ongoing model maintenance. Their clientele includes Series A to C AI companies that are developing enterprise-grade products, with a simple promise: to enhance your AI systems.As a Backend Software Engineer focusing on ML Infrastructure, you will play a pivotal role in designing, building, and scaling the essential systems that facilitate extensive model training and deployment.Your responsibilities will include developing distributed training pipelines, establishing cloud-native infrastructure, and creating internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale. This position uniquely combines backend engineering with machine learning systems, allowing you to work closely with ML engineers while taking ownership of production-grade infrastructure.This role is a fantastic opportunity for an early-career engineer eager to dive into real distributed systems, GPU workloads, and cutting-edge ML infrastructure—far removed from simple dashboards or CRUD 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.