Staff Machine Learning Systems Engineer, Embeddings Platform
Tasks
- Architect large scale machine learning models
- Build distributed training systems
- Define ML strategy for personalization and recommendations
- Design real time embedding serving for low latency inference
- Evaluate and introduce new modeling paradigms
- Integrate ML models into production systems
- Lead research on scalable ML systems
- Mentor machine learning engineers
- Present findings to leadership
Perks/Benefits
- 401k employer match
- Family planning support
- Flexible vacation
- Gender-affirming care
- Healthcare benefits
- Income replacement programs
- Mental health coaching
- Paid parental leave
- Paid volunteer time off
- Professional development
- Remote work options
Skills/Tech-stack
A/B | A/B Testing | B testing | C++ | Cloud Computing | Deep learning | Distributed Training | Embeddings | Foundation Models | GPU | High Performance | High-Performance Computing | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Performance Computing | Python | Real Time | Real-time Inference | Sequence Models
Education
N/A
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