Machine Learning Platform Engineer

About Faire

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.

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.

• 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

• 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

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.

• We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower…