We're looking for seasoned ML Infrastructure engineers to design, build, and maintain training infrastructure for our in-house ML research and validation efforts and the core infrastructure for running the curation pipeline that we deliver to our customers.
Requirements
- 5+ years of experience
- Meaningful experience with leading and building production ML infrastructure and platforms
- Proficiency in Python and Linux
- Strong knowledge of hardening cloud native and K8s workloads
- Experience maintaining a high-quality bar for design, correctness, and testing
- Humble attitude, eagerness to help colleagues, and a desire to make the team succeed
- Ability to own problems end-to-end and pick up missing knowledge to get the job done
- Experience running data-processing workloads in k8s (e.g spark on k8s)
Benefits
- 100% covered health benefits (medical, vision, and dental)
- 401(k) plan with a generous 4% company match
- Unlimited paid time off (PTO) policy
- Annual $2,000 wellness stipend
- Annual $1,000 learning and development stipend
- Daily lunches and snacks
- Relocation assistance for employees moving to the Bay Area