Staff ML Engineer

About the Role:

• This is a founding engineer position on the Intelligence team, shaping technical direction and shipping first versions of ML capabilities.
• You'll work directly with early engineers and manager to define what to build and how to fit it into the Docker platform.
• Staff-level scope: own architecture, evaluation methodology, and infrastructure for scaling.

Responsibilities:

• Design, train, evaluate, and ship ML systems for governance and security (e.g., prompt injection detection, trust scoring).
• Build data pipelines, feature stores, model serving, and feedback loops for rapid iteration.
• Make pragmatic build-vs-buy decisions and set technical direction for the team.

Qualifications:

• 5+ years of applied ML/AI experience with production systems, plus 8+ years of backend/infrastructure engineering.
• Experience with LLM-based systems, evaluation, prompt engineering, and agent frameworks.
• Collaborative, low-ego, and comfortable with early-stage ambiguity.

Perks:

• Freedom & flexibility, quarterly Whaleness Days, and end-of-year break.
• 16 weeks paid parental leave, technology stipend ($100 net/month), training stipend, and equity.
• Remote-first culture with home office setup and Docker Swag.