Faire is looking to build a machine learning platform to power their wholesale marketplace, enabling seamless software-driven machine learning deployment to improve core metrics and create more value for the ecosystem.
Requirements
- 5+ years experience building production machine learning systems or platform components such as feature store, model training framework, ML prediction service etc
- 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
Responsibilities
- Design and build highly scalable machine learning systems that the entire company will use.
- 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
Other
- 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.
- Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
- This role will also be eligible for equity and benefits.
- 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.
