About the company
Our client is a technology company.
The role
Raydar is recruiting for this role on behalf of our client. Develop research systems that propose, test and refine ideas, then move the most promising ones from prototype into shipped software. The position mixes neural network development, reinforcement learning and close work with engineers.
What you'll do
- Work closely with leadership to develop systems that propose, test and refine ideas.
- Team up with software engineers to turn experimental methods into dependable, shipped software.
- Apply reinforcement learning and post-training to large language models to automate parts of the research workflow.
- Keep up with new developments in AI research and automation.
Requirements
What we're looking for
- MS or PhD in computer science, machine learning, AI or a quantitative field, or equivalent research experience.
- Record of publishing in leading AI venues, or comparable experience at an industry research lab.
- Proficiency developing neural network models with gradient-based and reward-based methods, beyond wrapping hosted LLM APIs.
- Post-training or reinforcement learning work on large language models of 15B+ parameters, agent models or genetic algorithms.
- Strong Python skills, with the ability to ship production code independently.
- Track record applying reward-driven training and fine-tuning to neural models.
- Self-directed, comfortable exploring open research directions with minimal supervision.
Bonus points
- Experience at a frontier AI lab or top AI research team.
- Peer-reviewed papers in well-regarded machine learning venues.
- Background operating large multi-accelerator compute jobs or machine learning pipelines at scale.
- Background or interest in automated scientific research.
- Degree from a top-20 institution.
Benefits
Compensation and benefits
- Salary: $200K - $450K
- Equity
- Flexible time off
Location and work model
- San Mateo, CA, United States
- Hybrid, 4 days in-office
- Full-time
Skills Required
- MS or PhD in computer science, machine learning, artificial intelligence, a quantitative field, or equivalent research experience
- Record of publishing in leading AI venues or comparable experience at an industry research lab
- Proficiency developing neural network models with gradient-based and reward-based methods beyond using hosted LLM APIs
- Experience with post-training or reinforcement learning for large language models with 15B or more parameters, agent models, or genetic algorithms
- Strong Python skills and ability to independently ship production code
- Track record applying reward-driven training and fine-tuning to neural models
- Self-directed approach and comfort exploring open research directions with minimal supervision
- Experience at a frontier AI lab or top AI research team
- Peer-reviewed papers in well-regarded machine learning venues
- Experience operating large multi-accelerator compute jobs or machine learning pipelines at scale
- Background or interest in automated scientific research
- Degree from a top-20 institution
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.
