Staff ML Engineer

Docker · Remote

Posted
72 days ago
Last confirmed live
1 day ago

What this role involves

Docker is hiring a Staff ML Engineer to join the Intelligence team as a founding engineer. The role involves designing, training, and shipping ML systems for governance and security, building supporting infrastructure like data pipelines and evaluation harnesses, and setting technical direction. The team operates in a remote-first environment and focuses on making software and agent execution on Docker safer and more trustworthy.

Skills this posting asks for

  • machine learning
  • artificial intelligence
  • llm
  • fraud detection
  • anomaly detection
  • trust scoring
  • prompt injection detection
  • behavioral anomaly detection
  • policy recommendations
  • data pipelines
  • feature stores
  • model serving
  • evaluation harnesses
  • feedback loops
  • prompt engineering
  • fine-tuning
  • retrieval
  • guardrails
  • agent frameworks
  • mcp
  • backend engineering
  • infrastructure engineering
  • platform engineering
  • python

Requirements

  • 8 years of experience
  • Level: staff
  • Remote policy: remote

From the employer’s posting

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of…

Read the full description on Docker’s careers page

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