AI Research Scientist

About the company

Our client is a nine-person AI infrastructure startup building the systems that make autonomous agents reliable in production. Founded in 2024, the company turns agent failures, traces, evaluations, and human feedback into replayable learning environments with regression control inside the optimization loop. It has raised $6.9M and already supports large enterprise customers across financial services, healthcare, and technology.

Responsibilities

• Develop new methods, algorithms, and systems across the lifecycle of reliable AI agents
• Create novel approaches for simulation, evaluation, optimization, and regression control in real-world agent settings
• Study agent failures, traces, and human feedback to design more reliable learning loops
• Turn research ideas into experiments, prototypes, and production-facing capabilities
• Partner with product and engineering teams to translate frontier AI work into customer value
• Help define the company's technical direction in agent reliability, evaluation, and optimization
• Contribute independent ideas and challenge assumptions with rigorous experimental evidence

Requirements

• A PhD in computer science, machine learning, or a closely related field, or equivalent research depth
• At least one year of research experience focused on LLM agents or agentic systems
• Expertise in evaluations, novel applications of AI agents, or agent frameworks
• Strong publication evidence at venues such as NeurIPS, ICLR, ICML, or ACL, or meaningful contributions to widely used open-source projects
• Proficiency in Python and the ability to implement research ideas hands-on
• Independent research judgment and the ability to clearly explain your personal contributions
• Availability to work East Coast hours from the United States or Canada

Nice to have

• Experience as a first research hire or member of a small startup research team
• Research experience at an AI lab or applied AI company
• Experience translating AI research into production systems and enterprise products
• Familiarity with reinforcement learning, continuous learning, simulation systems, or agent optimization
• A fresh PhD is welcome if the research fit and hands-on ability are strong

Benefits

• Base salary of $130K-$200K
• Approximately 1% equity
• Direct collaboration with recognized researchers and repeat founders
• Visa transfers, STEM OPT, H-1B transfer, or TN support may be available

Schedule

• Fully remote within the United States or Canada
• Work on East Coast hours
• Full-time position on a small, research-intensive team