Raydar
AI Research Scientist
$130K–$200K
United States · Remote · Full-time · Posted Aug 25, 2026
- Experience
- At least one year of research experience focused on LLM agents or agentic systems; a fresh PhD is welcome.
- Education
- PhD in computer science, machine learning, or a closely related field, or equivalent research depth.
- Visa sponsorship
- Visa transfers, STEM OPT, H-1B transfer, or TN support may be available.
About the job
Advances research methods for reliable AI agents and turns them into experiments, prototypes, and production-facing systems.
What you'll do
- Develop methods and systems for agent simulation, evaluation, optimization, and regression control.
- Analyze agent failures, traces, and human feedback to improve learning loops.
- Translate research into working capabilities and help shape technical direction with product and engineering teams.
What they ask for
- 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 or meaningful contributions to widely used open-source projects.
- Proficiency in Python and availability to work East Coast hours from the United States or Canada.
Nice to have
- Experience as a first research hire or on a small startup research team; research at an AI lab or applied AI company.
- Experience translating AI research into production systems, or familiarity with reinforcement learning, continuous learning, simulation systems, or agent optimization.
Pay
$130K-$200K (base salary)
Tools
Python, NeurIPS, ICLR, ICML, ACL
AI focus
Research and development for reliable agentic AI, including simulation, evaluation, optimization, regression control, and continuous learning.
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