3 months ago
Palo Alto, CA, USA or Seattle, WA, USAStaff+
Base Salary
$205k - $330k/yr
Responsibilities
- Design, train, evaluate, and ship ML systems for governance and security use cases such as prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
- Build data pipelines, feature stores, model serving, evaluation harnesses, and feedback loops.
- Use frontier models, off-the-shelf tools, and managed services while developing custom systems where they provide durable advantage.
- Set technical direction for ML architecture, evaluation methodology, model lifecycle, and production quality standards.
- Ship initial intelligence capabilities to customers and establish the team’s technical foundations.
- Help recruit, mentor, and shape the growing team.
- Participate in a potential 24/7 on-call rotation for the Agentic Platform and take pager responsibility for owned services.
Requirements
- At least 5 years of deep applied ML/AI experience shipping production systems.
- At least 8 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.
- Experience owning ML system infrastructure such as data pipelines, model serving, evaluation, and monitoring, with end-to-end customer-facing product delivery.
- Production experience with LLM-based systems, including evaluation, prompt engineering, fine-tuning, retrieval, guardrails, and agent frameworks.
- Familiarity with the agent and MCP ecosystem.
- Experience in fraud, abuse, safety, security, or trust domains is valuable.
- Ability to make build-versus-buy decisions and work effectively in an early-stage environment with incomplete information.
- Strong collaboration and written communication skills.
Benefits
- Remote-first, globally distributed work with flexible scheduling
- Quarterly Whaleness Days and an end-of-year Whaleness break
- Home office setup
- 16 weeks of paid parental leave after six months of employment
- Technology stipend equivalent to $100 USD net per month
- PTO plan
- Training stipend for conferences, courses, and classes
- Equity
- Medical benefits, retirement, and holidays varying by country
- Offices available in Seattle and Paris
Tech Stack
Categories
About Docker
Docker builds developer tools for building, sharing, and running containerized applications, including Docker Desktop, Docker Hub, Docker Scout, and the open-source Docker Engine. It monetizes through paid subscriptions for individuals, teams, and enterprises, along with security offerings such as Docker Hardened Images. Founded in 2013 and headquartered in San Francisco, the company serves over 20 million monthly users and supports more than 20 billion container image pulls.