Staff ML Engineer, Agentic AI Platform

United States Digital Space LLC; Menlo Park (CA); On-site; USD 255,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Equity ownership

401(k) matching

Paid time off

Life & disability insurance

Fertility benefits

Mental health benefits

Catered meals and premium office space

Job summary

United States Digital Space LLC is seeking a Staff Machine Learning Engineer for the AI Platform & Agentic Apps team in Menlo Park, CA. You will design and build the agent harness and help scale trusted AI across the company.

You will evaluate agents at trajectory level, implement guardrails, mentor engineers, and define the technical direction to ensure safe, production-ready systems.

Qualifications

• 10+ years of experience as a Machine Learning Engineer or ML-focused software engineer.
• Hands-on experience building agentic systems end to end on frontier models.
• Deep expertise evaluating agents with trajectory-level evals and guardrails.
• Experience shipping eval, safety, or agent tooling adopted by other teams.
• Strong Python and distributed-systems fundamentals.

Responsibilities

• Design and build the agent harness that powers internal and customer-facing agents.
• Ship end-to-end agentic applications on the harness with real action.
• Build trajectory-level evaluation systems and sandboxed guardrails.
• Architect least-privilege tool scoping and approval gates for high-risk actions.
• Make evals and guardrails products used by other teams; mentor engineers.

Skills

Python

Distributed systems

LLM-powered systems

Agentic systems

Evaluation methodology

Education

Master's degree in Computer Science

Equivalent professional experience

Job description

United States Digital Space LLC is seeking a Staff Machine Learning Engineer for the AI Platform & Agentic Apps team in Menlo Park, CA. You will design and build the agent harness and help scale trusted AI across the company.

You will evaluate agents at trajectory level, implement guardrails, mentor engineers, and define the technical direction to ensure safe, production-ready systems.