Staff ML Engineer
New
D
DockerSoftware Engineering
Workplace: RemoteFull-TimeStaff
Salary$205K – $330K + equity
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Job Details
- Experience
- 5+ years of deep applied ML/AI expertise; 8+ years of professional, hands-on, full-time software engineering experience
- Required Skills
- Artificial IntelligenceMachine LearningPrompt EngineeringLLM
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.
- 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 related field, or equivalent practical experience.
- Built and owned ML systems including data pipelines, serving, evaluation, and monitoring for customer-facing products.
- Fluent with modern AI tools and ability to integrate frontier models with traditional ML.
- Experience with LLM-based systems in production: evaluation, prompt engineering, fine-tuning, retrieval, guardrails, and agent frameworks.
- Familiarity with the agent / MCP ecosystem.
- Ability to work in early-stage environments with evolving roadmaps and incomplete information.
- Collaborative and low-ego approach to working across teams.
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 using frontier models, off-the-shelf tooling, and managed services where appropriate.
- Set technical direction for the team's ML work, owning the 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 maintain services built.
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