[Hiring] AI Research Scientist @Raydar

Role Description

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.

• 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

Qualifications

• 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

Requirements

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

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