Staff ML Engineer

Docker is hiring a Staff ML Engineer to join the Intelligence team, building ML-driven governance and security capabilities for Docker's platform. The role involves designing and shipping ML systems for tasks like prompt injection detection, anomaly detection, and trust scoring. The position is remote-first and offers the opportunity to shape technical direction and build foundational infrastructure.

• Design, train, evaluate, and ship ML systems that power governance and security capabilities
• Build supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses
• Make pragmatic build-vs-buy calls
• Set technical direction for the team's ML work
• Help recruit, mentor, and shape the team

• 5+ years of deep applied ML/AI expertise with production systems
• 8+ years of professional software engineering experience in backend/infrastructure
• Bachelor's degree in CS or equivalent
• Experience building and owning ML systems (data pipelines, serving, evaluation)
• Fluency with modern AI tools and instinct for frontier models vs traditional ML
• Experience with LLM-based systems in production (evaluation, prompt engineering, fine-tuning)
• Familiarity with the agent / MCP ecosystem
• Comfort with early-stage ambiguity and making decisions with incomplete information