Palo Alto, CA•Seattle, WA
Remote
Senior
Full Time
1 day ago
💰$ 138,500 - $ 225,500
ML EngineerAIMachine LearningBackend EngineeringRemote-firstSenior LevelDocker
Requirements
- •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
- •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 related field, or equivalent practical experience
- •Experience building and owning systems around ML models including data pipelines, serving, evaluation, monitoring
- •Fluency with modern AI tools and ability to decide when to use frontier models versus traditional ML
- •Experience with LLM-based systems in production including evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks
- •Familiarity with the agent / MCP ecosystem
- •Ability to work in an early-stage effort with incomplete information and make crisp decisions
- •Collaborative and low-ego with good communication skills
What You'll Do
- •Design, train, evaluate, and ship ML systems that power governance and security capabilities, including prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations
- •Build supporting infrastructure such as data pipelines, feature stores, model serving, evaluation harnesses, and feedback loops
- •Make pragmatic build-vs-buy decisions using frontier models, off-the-shelf tooling, and managed services
- •Set technical direction for the team's ML work including architecture, evaluation methodology, model lifecycle, and shipping standards
- •Help recruit, mentor, and shape the team as it grows
- •Participate in a 24/7 on-call rotation for the Agentic Platform and carry pager responsibility for services built and operated
Benefits
- •Freedom & flexibility to fit work around life
- •Designated quarterly Whaleness Days plus end of year Whaleness break
- •Home office setup
- •16 weeks of paid Parental leave after 6 months of employment
- •Technology stipend equivalent to $100 USD net/month
- •PTO plan encouraging time off
- •Training stipend for conferences, courses and classes
- •Equity in the company
- •Docker Swag
- •Medical benefits, retirement and holidays vary by country
- •Remote-first culture with offices in Seattle and Paris
About Docker
Docker’s platform helps millions of developers efficiently and collaboratively build, share, and run applications.
Palo Alto, CA
500 - 1000
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