Principal Applied Ml Researcher (agentic Systems & Applied Ai Platform)

Red Cell Partners

Remote
**
Define and drive ml/llm strategy
Own end-to-end research-to-production lifecycle
Design llm operation in agent workflows
** Red Cell Partners is seeking a Principal Applied ML Researcher to lead the machine learning and large language model strategy for their AI platform, Trase OS. This remote position requires extensive experience in applied ML systems, with a focus on agentic systems in regulated environments, while offering a unique opportunity to work on cutting-edge AI technologies. **

Job Summary

  • As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.
  • You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.
  • This is a hands-on technical leadership role operating at the intersection of research, systems, and product.

Matching Summary

Match Score: 75

** Red Cell Partners is seeking a Principal Applied ML Researcher to lead the machine learning and large language model strategy for their AI platform, Trase OS. This remote position requires extensive experience in applied ML systems, with a focus on agentic systems in regulated environments, while offering a unique opportunity to work on cutting-edge AI technologies. **

Skills & Requirements

Must-have

  • Define and drive ML/LLM strategy
  • Own end-to-end research-to-production lifecycle
  • Design LLM operation in agent workflows
  • Implement prompting strategies and orchestration
  • Establish evaluation systems for ML outcomes
  • Build and deploy enterprise-grade AI systems

Nice-to-have

  • Drive technical breakthroughs in agentic systems
  • Mentor junior and senior engineers
  • Influence technical direction beyond immediate teams

Key Requirements

  • 12–15+ years of experience in machine learning
  • Strong programming skills in Python
  • Deep expertise in at least one major ML domain
  • Hands-on experience with prompt engineering
  • Proven experience building and shipping enterprise-grade AI systems
  • Experience designing and implementing evaluation frameworks

Work Rights

Not specified

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