AI Research Scientist

Raydar; United States; Remote; USD 130,000 - 200,000; Full time

Benefits offered by this job

Equity (~1%)

Visa transfers / STEM OPT support

Fully remote in US/Canada

East Coast hours

Small, research‑intensive team

Job summary

Raydar, a small AI startup, is hiring an AI Research Scientist to advance reliable agentic AI and turn research ideas into production‑facing capabilities.

You will develop new methods for agent simulation, evaluation, and continuous learning, collaborating with a compact team and publishing results with rigor. East Coast hours are expected, and fully remote work within the US/Canada is supported.

Qualifications

• PhD or equivalent research depth is required.
• At least 1 year of research focused on LLM agents or agentic systems.
• Expertise in evaluations, novel applications of AI agents, or agent frameworks.
• Strong publication evidence at venues like NeurIPS, ICLR, ICML, or ACL, or meaningful contributions to widely used OSS.
• Proficiency in Python and the ability to implement research ideas hands-on.
• Independent research judgment and the ability to explain personal contributions.
• Availability to work East Coast hours from the United States or Canada.

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.
• A PhD in computer science, machine learning, or a closely related field, or equivalent research depth.

Skills

LLM agents research

Agent evaluation

Python

Independent research judgment

Publication record

AI frameworks

Communication

Education

PhD in computer science or related field

Tools

Python

Job description

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.

We are hiring an AI Research Scientist to advance the frontier of reliable agentic AI. You will be a core contributor to original methods for agent simulation, evaluation, optimization, and continuous learning, while remaining hands‑on enough to turn research ideas into working systems and production‑facing capabilities. Research depth is the priority, with real product impact and close collaboration across a small technical team.

What you'll do

• 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
• 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

Bonus points

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