Staff Machine Learning Infrastructure Engineer, Embedding Platform
Tasks
- Architect ML infrastructure
- Build low latency inference systems
- Collaborate cross functionally to deploy ML models
- Define ML strategy for personalization
- Evaluate new modeling paradigms
- Execute distributed training systems
- Lead development of scalable ML systems
- Mentor ML engineers
- Optimize real time embedding serving
- Present findings to leadership
Perks/Benefits
- 401k employer match
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefits
- Healthcare benefits
- Income replacement programs
- Mental health and coaching
- Paid parental leave
- Paid volunteer time off
- Remote work option
Skills/Tech-stack
A/B | A/B Testing | B testing | C++ | Cloud Computing | Deep learning | Distributed Training | Foundational models | GPU | High Performance | High-Performance Computing | Machine Learning | Model Evaluation | Performance Computing | Python | Real Time | Real-time Inference | Sequence Models
Education
N/A
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