Principal Machine Learning Engineer
Santa Clara, California, United States
R
USD 240K-420K Senior-level Full Time
Tasks
- Build production agents with enterprise grounded reasoning
- Design and ship multi agent systems
- Develop RAG pipelines and retrieval grounding
- Drive scalable and robust architectures for large scale deployment
- Evaluate model tradeoffs for cost latency and capability
- Implement trust safety and governance guardrails
- Integrate frontier models into Sense Decide Act Govern architecture
- Lead agentic AI architecture design and design reviews
Perks/Benefits
- 401k plan
- ESPP
- Family leave programs
- Flexible spending accounts
- Flexible time away
- Health plans
- Matching donations
Skills/Tech-stack
Agent systems | Architecture | C plus plus | Compliance | Deep learning | Distributed Systems | Evaluation metrics | Failure recovery | Fine Tuning | Go | Human-in-the-loop | Hybrid search | Inference Optimization | Java | LLM Fine-tuning | Machine Learning | Memory systems | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Planning | Prompt engineering | Python | RAG | Re-ranking | Retrieval-Augmented Generation | Structured Output | The Loop | Tool-Calling | Vector Stores
Education
N/A
Regions
Countries
States
Cities
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