Research Scientist

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
150K-250K Annually
Mid level
Professional Services • Consulting
The Role
Conduct controlled fine-tuning and reinforcement learning experiments to understand how training data affects model behavior. Develop evaluations and training datasets, assess noisy experimental results, improve data quality, publish technical findings, and present evidence to internal and external partners across domains including finance, software engineering, and policy.
Summary Generated by Built In

About the company

Our client is a technology company.

The role

Raydar is recruiting for this role on behalf of our client. Plan and carry out machine learning experiments that clarify how different training data shapes model behavior. Convert the findings into practical recommendations and contribute to shared evaluation tooling, collaborating with outside partners and internal colleagues.

What you'll do

- Run controlled fine-tuning and reinforcement learning experiments to measure how training data affects model performance.

- Help build public evaluations and new kinds of training data.

- Share findings publicly through articles, written reports and similar technical content.

- Partner with internal teams to improve data quality based on experimental findings.

- Present results to external partners as clear, well-supported evidence.


Requirements

What we're looking for

- Strong familiarity with large language model training and evaluation methods.

- Hands-on experience setting up, running and interpreting controlled experiments without close supervision.

- Skill at running quick, small-scale tests and drawing useful conclusions from noisy results.

- Comfort working across several domains, such as finance, software engineering and policy.

- A preference for building and testing over theorizing.

- Prior experience at a leading AI research lab.

- 0 to 4 years of relevant experience.


Benefits

Compensation and benefits

- Base salary: USD 150,000 to 250,000 per year

- Health insurance

Location and work model

- San Francisco, California, United States

- On-site

- Full-time

Skills Required

  • Strong familiarity with large language model training and evaluation methods
  • Hands-on experience setting up, running, and interpreting controlled experiments independently
  • Ability to run small-scale tests and draw conclusions from noisy results
  • Comfort working across finance, software engineering, policy, and other domains
  • Prior experience at a leading AI research lab
  • 0 to 4 years of relevant experience
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The Company
28 Employees
Year Founded: 2021

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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