Salary
💰 $225,000 - $325,000 per year
Tech Stack
KubernetesPostgresPython
About the role
- Pioneer development of multimodal foundation models that can see, hear and understand the world
- Drive ML systems and platform engineering across e2e ML and engineering workflows
- Deliver highly reliable, low latency, high throughput services
- Advance enterprise video solutions by converting research into fault tolerant, low latency systems
- Craft performant APIs using modern Python tools
- Build libraries and services focused on high impact
- Mentor junior engineers/researchers and uphold code quality and engineering best practices
- Lead interviewing, hiring, and onboarding engineers
Requirements
- 6+ years of relevant industry experience
- Designed production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic
- Demonstrated experience as a technical lead to deliver projects end to end
- Exposure to machine learning models in production environments (deployment, serving, lifecycle management, monitoring)
- Scaling ML systems and/or data infrastructure to petabyte+ scale (preferred)
- Building Kubernetes-based systems for distributed data/ML workflows (preferred)