Sequoia Staff AI Engineer
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Summary
Designs and implements AI systems, including recommenders and classifiers, while leading technical direction and managing GPU fleets for low-latency inference at scale.
- Design AI systems from product requirements
- Drive experiments to prove efficacy
- Implement recommender and classification systems
- Lead cross org technical direction
- Lead day to day engineering work
- Manage GPU fleets for low latency inference
- On call system reliability
- Own end to end machine learning systems
- Root cause production regressions
- Train models for production
Perks/Benefits:
- Health and wellness programs
- Hybrid work
- Mentorship
- Time off