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This listing was closed on Jul 17, 2026.
Browse Open JobsML Engineer
Summary by AIEngineer.careers
ML Engineer is a Machine Learning Engineer role (full-time). with Docker, Inc. in REMOTE, WORLDWIDE. Compensation shown: $139K–$226K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
REMOTE · WORLDWIDE
$139K–$226K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Docker is hiring an ML Engineer as a founding engineer on the Intelligence team to build ML systems for governance and security in AI agent execution. You will design and ship production systems for prompt injection detection, anomaly detection, trust scoring, and policy recommendations.
Responsibilities
- Design, train, evaluate, and ship ML systems for governance and security.
- Build data pipelines, feature stores, model serving, and evaluation harnesses.
- Make build-vs-buy decisions and set technical direction.
- Help recruit and mentor team members.
Requirements
- 5+ years of applied ML/AI expertise with production systems.
- 4+ years of software engineering experience in backend or infrastructure.
- Bachelor's degree or equivalent.
- Experience with LLM-based systems in production.
Nice to Have
- Experience in fraud, abuse, safety, security, or trust domains.
- Familiarity with agent / MCP ecosystem.
Tech Stack
LLM
Docker, Inc
San Francisco · US · 1055+ employees
Docker is a platform that simplifies the development, deployment, and management of containerized applications. It provides integrated tools for developers to build and share software, and now focuses on governance and security for AI-native development.
