Senior ML Engineer
Tasks
- Build ML APIs for LLM agents
- Create golden datasets and rubrics
- Define ML and AI roadmap with stakeholders
- Deploy low latency ML services
- Design tool contracts
- Develop evaluation frameworks for AI agents
- Implement structured error handling
- Integrate ML systems into agent runtimes
- Mentor teams on ML system design
- Optimize latency and cost
- Productionize machine learning models
- Run regression testing for prompts and models
Perks/Benefits
- Co-working budget
- Equity or stock options
- Fully remote
- Home office setup budget
- Paid time off
- Travel budget
Skills/Tech-stack
AWS Lambda | BentoML | Cost Optimization | Docker | Evaluation | FastAPI | GitHub | Golden datasets | LLM Agents | Latency optimization | Machine Learning | Offline metrics | Online metrics | Prompt engineering | Python | Regression testing | Structured outputs | Tool design | TypeScript
Education
N/A
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