Member of Technical Staff, Forward Deployed (US Gov)
Core team
$350K - $500K/yr compensation
Required Skills
Python
LLM Systems
Data Pipelines
Distributed Systems
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Member of Technical Staff, Forward Deployed (US Gov)
Job Type: Full-time
Location: Hybrid - Washington, D.C.
The Role
We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners.
What You’ll Work On
- Build and maintain data pipelines for model training, evaluation, and research workflows.
- Design and run RL environments for experimentation and training.
- Develop and scale model inference systems.
- Implement and maintain SDKs and integrations across frontier AI platforms.
- Build agentic systems (multi-agent, tools, RAG) using modern LLM stacks.
- Take systems from prototype → production, with reliability and security in mind.
- Work directly with partners in forward-deployed settings on sensitive, high-impact use cases.
What We're Looking For
- Strong Python engineer with end-to-end ownership experience.
- Experience with LLMs / agentic systems (LangChain, LangGraph, or similar).
- Built or maintained data pipelines / ML infrastructure.
- Familiar with RL workflows or simulation environments.
- Experience with distributed systems or inference scaling.
- Comfortable in high-security / high-reliability environments.
- Able to operate independently in ambiguous, partner-facing contexts.
Preferred
- Experience in regulated or mission-critical domains.
- Familiarity with Vertex AI, Bedrock, or similar platforms.
- Background in security, infra, or high-reliability systems.