Principal Machine Learning Engineer

📋 Description

• Design and ship multi-agent systems for production use
• Leverage CMDB, Workflow Data Fabric, Knowledge Graph for decisions
• Ensure safety with observability and governance tooling
• Integrate frontier models into enterprise-grade architecture
• Collaborate on scalable, production-grade infra across hyperscalers
• Develop retrieval-grounded AI with low-latency pipelines

🎯 Requirements

• 9+ years software engineering, strong DS, algorithms, distributed systems
• Hands-on agentic systems design in production
• Production-grade Python; other languages a plus (Go/Java/C++)
• Experience with frontier AI SDKs (Anthropic/Google/OpenAI)
• Familiar with RAG, vector stores, hybrid search, eval metrics
• Technical leadership: architecture ownership, mentoring

🎁 Benefits

• Health plans and 401(k) with match
• ESPP and matching donations
• Flexible time away and family leave programs
• Competitive compensation depending on location