Note: The job is a remote job and is open to candidates in USA. Docker, Inc is a leading brand in developer tooling, trusted by millions of users worldwide. They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on building machine learning systems that enhance governance and security capabilities within the Docker platform.
Responsibilities
- Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations
- Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast
- Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage
- Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping
- Help recruit, mentor, and shape the team as it grows
- This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
Skills
- 5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable
- 4+ 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
- You've built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end
- You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they can't, and when to combine the two
- Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks
- Familiarity with the agent / MCP ecosystem
- You're energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information
- Collaborative and low-ego. You work well across teams, write clearly, and bring others along
Benefits
- Offers Equity
- Freedom & flexibility; fit your work around your life
- Designated quarterly Whaleness Days plus end of year Whaleness break
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave (after 6 months of employment)
- Technology stipend equivalent to $100 USD net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Training stipend for conferences, courses and classes
- Docker Swag
- Medical benefits, retirement and holidays vary by country
- Remote-first culture, with offices in Seattle and Paris
Company Overview
At Docker, we simplify the lives of developers who are making world-changing apps. It was founded in 2011, and is headquartered in Palo Alto, California, USA, with a workforce of 501-1000 employees. Its website is https://www.docker.com.Company H1B Sponsorship
Docker, Inc has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2023, 1 in 2022, 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.