GrepJob
Trase Systems

Principal AI Researcher (Agentic Systems & AI Infrastructure)

Trase Systems
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about 4 hours ago
Remote, Worldwide or Seattle, WA, USAStaff+
H1B Sponsor

Base Salary

$250k - $300k/yr

Responsibilities

  • Define and evolve the long-term AI/ML research strategy for Trase OS.
  • Lead large-scale experimentation and prototyping efforts.
  • Drive original research and technical breakthroughs in agentic systems.
  • Design operational models for long-lived execution environments.
  • Establish evaluation methodologies for autonomous systems.
  • Drive architecture decisions across orchestration and model serving.
  • Partner with engineering and product teams to operationalize research outcomes.
  • Build reliable AI systems for regulated environments.
  • Contribute to the AI research community through publications and thought leadership.
  • Mentor and influence technical direction across the organization.

Requirements

  • 12–15+ years of experience in machine learning or applied AI research.
  • Strong research and publication track record in frontier AI research.
  • Experience with large-scale experimentation and evaluation workflows.
  • Deep expertise in areas like agentic systems, LLMs, and reinforcement learning.
  • Hands-on experience with agent-based systems and fine-tuning techniques.
  • Proven experience in building and deploying enterprise-grade AI systems.
  • Strong understanding of ML system behavior in production.
  • Strong programming skills in Python and modern ML infrastructure stacks.
  • Experience deploying AI systems in regulated environments.

Benefits

  • Career track opportunity with potential for rapid advancement.
  • 100% employer paid comprehensive health care for you and your family.
  • Paid maternity and paternity leave for 14 weeks at normal pay.
  • Unlimited PTO with management approval.
  • Opportunities for professional development and continued learning.
  • Optional 401K, FSA, and equity incentives available.
  • Mental health benefits available through Tara Mind.

Tech Stack

Categories

AI & MLData Science