Staff ML Engineer
Remote · Seattle, Washington, United States or Palo Alto, California, United States
Job Summary
Staff ML Engineer on the Intelligence Org responsible for designing, training, evaluating, and shipping ML systems that power governance and security capabilities (e.g., prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations). Build supporting infrastructure (data pipelines, feature stores, model serving, evaluation harnesses), set technical direction for ML work, own architecture and model lifecycle, and contribute to recruiting and mentoring. May participate in a 24/7 on-call rotation for the Agentic Platform.
Required Qualifications
- 5+ years of deep applied ML/AI expertise with a track record of shipping production systems
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience building and owning ML model systems including data pipelines, serving, evaluation, and monitoring
- Experience with LLM-based systems in production including evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks
- Familiarity with the agent / MCP ecosystem
- Ability to work in early-stage environments and make crisp decisions with incomplete information
- Collaborative and low-ego mindset
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