Forward Deployed MTS

Core team
$500K - $800K/yr compensation

Required Skills

Client-Embedded Problem Solving
Systems Engineering
Product-Requirement Translation
Ownership
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: Forward Deployed MTS

Job Type: Full-time

Location: Remote

Role

As a Forward Deployed MTS, you sit at the boundary of customer delivery, applied research, and production engineering. You own AI data and training pipelines end-to-end, translating real-world signals into scalable, production systems that directly improve model performance.

What You’ll Do

  • Partner directly with researchers at frontier AI labs to identify model gaps, define success metrics, and shape training strategy.
  • Work embedded with customers to identify gaps, define success, and drive execution.
  • Design task formats, evaluations, and training setups aligned to real-world objectives.
  • Rapidly ship high-quality outputs using Off-The-Shelf (OTS) pipelines; own new pipelines from kickoff to production.
  • Build and maintain production-grade code, integrations, and automated data/training workflows.
  • Act as the technical owner for pipeline architecture, bridging researchers, customers, and internal platform teams.

What We’re Looking For

  • Strong engineering background with ownership of complex systems from design to production.
  • Experience owning end-to-end AI or data pipelines in production environments.
  • Comfort operating in ambiguity, moving fast, and shipping repeatedly.
  • Clear communicator who can translate customer feedback into technical execution.
  • Proven ability to lead technical delivery and mentor others.

Nice to Have

  • Experience with model training workflows or applied ML systems.
  • Background in applied research or customer-embedded engineering roles.

This job is currently closed and not accepting applications. Thank you for your interest!

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