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
Skills Required
- Solid working knowledge of reinforcement learning, coding-focused reinforcement learning, evaluations, harnesses, benchmarks, and post-training
- Blend of research intuition and engineering ability to build tasks and evaluations
- Prior experience at a data company or concrete self-driven evidence such as a benchmark or post-training side project
- High energy, strong drive, and hunger to learn
- High agency, strong work ethic, integrity, and earnest attitude toward learning
- Roughly 1 to 5 years of relevant experience
- Research experience at a strong lab or university
- Interest in starting a company someday
- Willingness to relocate to the Bay Area from outside the region
- Deep curiosity about AI
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
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