[Hiring] Principal AI Researcher @Trase Systems

Role Description

As a Principal AI Researcher, you will define and drive the long-term research direction for the Trase operating system, the agentic execution platform powering autonomous systems in regulated environments. This role sits at the intersection of frontier AI research, agentic systems, orchestration infrastructure, and production deployment, with a focus on how models behave inside real-world execution environments rather than solely on offline benchmark performance.

• Lead research across areas such as agent workflows, tool use, long-lived execution, orchestration, and autonomous system reliability.
• Conduct large-scale experimentation and advance novel approaches in applied AI systems.
• Drive technical breakthroughs in agentic infrastructure and applied AI systems.
• Own the end-to-end research-to-production lifecycle.
• Work closely with engineering and product teams to translate frontier research into scalable, production-grade systems.

Qualifications

• 12–15+ years of experience in machine learning, AI systems, or applied AI research.
• Strong research and publication track record, including authored papers and major technical contributions.
• Experience publishing at top-tier conferences or contributing to influential open-source or AI infrastructure systems.
• Deep expertise in one or more areas including agentic systems, LLMs and generative AI, multi-agent systems, reasoning systems, reinforcement learning, orchestration infrastructure, AI systems reliability, NLP, multimodal systems, or deep learning.
• Hands-on experience with agent-based systems, prompt engineering, RAG, RLHF, SLMs, fine-tuning/post-training techniques, tool integration, memory systems, and human-in-the-loop orchestration.
• Proven experience building, deploying, and operating enterprise-grade AI systems.
• Strong understanding of ML system behavior in production.
• Strong programming and prototyping skills in Python and modern ML infrastructure stacks.

Requirements

• Experience conducting large-scale experimentation requiring significant compute infrastructure.
• Strong systems thinking and demonstrated ability to partner cross-functionally with engineering and product organizations.
• Experience deploying AI/ML systems in regulated, constrained, or enterprise environments.

Benefits

• Career track opportunity with potential for rapid advancement with strong performance as the firm grows.
• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development and continued learning.
• Optional 401K, FSA, and equity incentives available.
• Mental health benefits are available through Tara Mind.