À propos du poste
About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Serve as the in-house scientific authority for a technical discipline, shaping the standards that research-grade datasets must meet. Own projects from planning through delivery while directing groups of specialist contributors in a fast-paced, high-stakes setting.
What you'll do
- Act as the internal subject-matter authority for your scientific discipline and set the quality standard for the datasets the team produces.
- Draft dataset specifications and evaluation criteria that guide how advanced models are trained and assessed.
- Recruit, lead and coordinate groups of specialist contributors to deliver rigorous work at scale.
- Own key projects end-to-end, from scoping and execution through iteration and delivery.
- Partner with external organizations on new data solutions and support broader operational initiatives.
Requirements
What we're looking for
- A doctorate, finished or nearly finished, in a natural science, mathematics, statistics or a closely related quantitative discipline, or comparable distinction through top placement in elite math, science or programming contests.
- Hands-on skill with a scripting or statistical programming language for analyzing data, such as Python.
- Willingness to put in 60+ hours per week when the work demands it.
- Ability to work on-site five days a week, with a half-day or remote work on Sundays.
- An entrepreneurial, high-ownership mindset combined with the rigor of a trained researcher.
Bonus points
- Internship or fellowship at a highly regarded company or research lab.
- Degree from a top-20 STEM program.
- Familiarity with how large language models are trained, fine-tuned or evaluated.
Benefits
Compensation and benefits
- Base salary: USD 150,000 to 225,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site, 5 days a week in the office, plus a half-day or remote on Sundays
- Full-time