Senior AI Research Scientist

About the Role

Join a research-focused team building methods and systems that make AI agents more reliable in production. You will advance agentic AI through original research, experimentation, and practical capabilities that help turn prototypes into robust workflows.

What You'll Do

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

• Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.

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

• Partner with product and engineering teams to translate AI advances into practical value.

• Help shape technical direction in agent reliability, evaluation, and optimization.

What We're Looking For

• A PhD in computer science, machine learning, or a closely related field, with research experience ranging from a recent graduate to 10 or more years.

• Strong proficiency in Python and a research-oriented approach to technical problem solving.

• Novel research experience involving AI agents, agent frameworks, evaluation systems, or related applications, beyond applying off-the-shelf methods to internal data.

• Research publications at leading machine learning or language technology venues, or meaningful contributions to widely used open-source projects.

• Depth in AI and machine learning, with relevant experience in large language models, reinforcement learning, continuous learning, and agent systems.

• Ability to develop independent research ideas and translate them into production systems, ideally in a small team or applied research setting.

Compensation & Benefits

Salary range: $130,000 to $200,000 USD annually. Visa sponsorship is available.

Location

Remote within the United States.