Senior ML Operations (MLOps) Engineer
Eight Sleep3 months ago
Responsibilities
- Introduce and implement cutting-edge ML technologies into products and processes.
- Own the design and operation of robust ML infrastructure.
- Build scalable data, model, and deployment pipelines.
- Collaborate with R&D, firmware, data, and backend teams.
- Drive cost-effective and high-performance ML systems.
- Develop tooling, microservices, and frameworks for data processing.
Requirements
- 5+ years of software engineering experience focused on ML infrastructure.
- Hands-on experience with ML workflow orchestration and CI/CD pipelines.
- Demonstrated success in shipping ML models to production at scale.
- Strong experience with AWS or equivalent cloud platforms.
- A collaborative and iterative approach to problem-solving.
Benefits
- Receive your own Pod, the flagship product of Eight Sleep.
- Full access to health, vision, and dental insurance for you and your dependents.
- Flexible PTO and commuter benefits.
- Paid parental leave.
- Equity participation and periodic equity refreshments based on performance.