Research Engineer

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Build and run evaluation and reinforcement learning task pipelines for coding-focused AI models, working directly with external customers from the first day. The role grows over roughly six months from hands-on engineering into leading a small team of engineers.

What you'll do

• Design and build coding evaluations and reinforcement learning tasks, along with the pipeline that produces them.
• Run evaluations of leading AI models against an internal benchmark and a set of representative tasks.
• Partner directly with customers, quality-checking deliverables and shipping to specification.
• Build reinforcement learning tasks hand in hand with customers as the engagement matures.
• Grow into leading a team of engineers over the first several months.

Requirements

What we're looking for

• Solid working knowledge of reinforcement learning, coding-focused RL, evaluations, harnesses, benchmarks and post-training; this is a firm requirement.
• A blend of research intuition and the engineering skill to build tasks and evaluations.
• Prior experience at a data company, or concrete self-driven evidence such as a benchmark you built or a post-training side project.
• High energy, strong drive and a hunger to learn and do as much as possible.
• High agency, a strong work ethic, integrity and an earnest attitude toward learning.
• Roughly 1 to 5 years of relevant experience.

Bonus points

• Research experience at a strong lab or university.
• Interest in starting a company someday.
• Relocating to the Bay Area from outside the region and a deep curiosity about AI.

Benefits

Compensation and benefits

• Base salary: USD 150,000 to 200,000 per year
• Equity
• Health insurance

Location and work model

• San Francisco, California, United States
• On-site, in office
• Full-time