Distinguished Machine Learning Engineer, AISWP (Hybrid)
San Jose, California, United States of America
R
USD 342K-433K Senior-level Full Time
Tasks
- Architect hybrid and graph based retrieval systems
- Collaborate with AI researchers and distributed systems architects
- Define and implement technical strategies for agentic systems
- Design model context strategies and security guardrails
- Drive architectural alignment across product organizations
- Ensure measurable auditable and resilient autonomous actions
- Lead AI safety observability and compliance standards
- Mentor senior engineering leaders
- Serve as technical authority for architectural decisions
Perks/Benefits
Skills/Tech-stack
AI Governance | Agent systems | Agentic Systems | Artificial Intelligence | Automated remediation | Cause analysis | Compliance | Continuous batching | DPO | Distributed Systems | Fine Tuning | Go | Graph retrieval | Human-in-the-loop | Hybrid retrieval | Inference Optimization | Injection Defense | KV caching | LLM | LLM security | Langgraph | Machine Learning | Microservices | Model Context Protocol | Model routing | Multi-Agent | Multi-Agent Systems | Observability | Prefix caching | Prompt injection | Prompt injection defense | Python | RLHF | Reinforcement Learning | Root Cause Analysis | Root cause | Rust | Supervised Fine Tuning | Telemetry | Temporal | The Loop
Education
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