3 months ago
Palo Alto, CA, USA or Seattle, WA, USAStaff+
Base Salary
$139k - $226k/yr
Responsibilities
- Design, train, evaluate, and ship ML systems for prompt-injection detection, behavioral anomaly detection, trust scoring, policy recommendations, and related governance and security capabilities.
- Build data pipelines, feature stores, model serving, evaluation harnesses, monitoring, and feedback loops.
- Make build-versus-buy decisions using frontier models, off-the-shelf tooling, and managed services where appropriate.
- Set technical direction for ML architecture, evaluation methodology, model lifecycle, and shipping standards.
- Ship initial intelligence capabilities to customers and establish the team's technical foundations.
- Help recruit, mentor, and shape the growing team.
- Operate services built for the Agentic Platform, potentially including genuine 24/7 pager and on-call responsibility.
Requirements
- At least five years of deep applied ML/AI expertise and a track record of shipping production systems.
- At least four 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 the systems around ML models, including data pipelines, serving, evaluation, and monitoring, and shipping customer-facing products end to end.
- 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 technical decisions in an early-stage environment with incomplete information and collaborate effectively across teams.
Benefits
- Remote-first culture with flexible work arrangements and offices in Seattle and Paris.
- Quarterly Whaleness Days and an end-of-year Whaleness break.
- Home office setup support.
- 16 weeks of paid parental leave after six months of employment.
- PTO plan, training stipend, equity, medical benefits, retirement, holidays, and company swag.
- Potential participation in a 24/7 on-call rotation for the Agentic Platform.
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.