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