# Research Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-12 **Salary:** USD 150,000–200,000 **Workplace:** on_site ## Description 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 ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/02D2693BF3/apply) --- Powered by [Workable](https://www.workable.com)