Sr Machine Learning Engineer
Tasks
- Architect agent planning orchestration and tool routing
- Balance latency quality and cost controls for agent execution
- Collaborate on reusable agent infrastructure with platform and search teams
- Develop safety fallbacks error handling and graceful degradation
- Engineer memory state and context grounding strategies
- Establish safety guarantees and measurable quality improvements
- Implement code generation agents and sandboxed code execution
Perks/Benefits
Skills/Tech-stack
Agent architecture | Code Execution | Code execution sandboxing | Code generation | Context engineering | Error Handling | GCP | Kotlin | Kubernetes | Machine Learning | Model Evaluation | Node.js | Postgres | Prompt engineering | React | Redis | Tailwind | Terraform | Tool Routing | TypeScript
Education
N/A
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