AI Research Scientist

About the Role

This is a core technical role on the AI team at an early-stage startup building infrastructure to make AI agents reliable in production. You will advance the frontier of agentic AI, owning original research ideas while bridging cutting-edge innovation with real-world product impact. The work you do here directly shapes the platform's technical direction.

What You'll Do

• Develop and improve core AI methods, algorithms, and systems across the full lifecycle of reliable AI agents.

• Create novel approaches for simulation, evaluation, and optimization of agent behavior in real-world settings.

• Turn research ideas into working prototypes and production-facing capabilities.

• Collaborate closely with product and engineering teams to translate frontier AI research into practical customer value.

• Help define the company's technical direction in agent reliability, evaluation, and optimization.

What We're Looking For

• Demonstrated research depth and novel thinking in machine learning or AI, prioritized over pure engineering ability.

• Expertise in evaluations, novel applications, or custom implementations of AI agent frameworks, going well beyond off-the-shelf methods.

• Publications at top-tier ML/AI venues (NeurIPS, ICLR, ICML, ACL) or significant contributions to widely-used open-source projects.

• Strong Python proficiency for research and development.

• Familiarity with LLMs, reinforcement learning, agent frameworks, and evaluation systems.

• Experience translating AI research into production systems or deployed applications is a plus.

• Background at a top AI lab or applied AI company is a plus.

• Comfort working in small, fast-moving teams where research directly influences product decisions is a plus.

Compensation & Benefits

Salary range: $130,000 to $200,000 USD annually. Visa sponsorship is not available.

Location

Fully remote, based in the United States.