Raydar
Machine Learning Researcher
$250K–$400K
San Francisco, California · Full-time · Posted Oct 16, 2026
- Experience
- Roughly 5 to 10 years in applied machine-learning research; academic lab and doctoral work can count toward that time.
- Education
- Advanced degree in a quantitative discipline such as computer science, mathematics, or physics; ideally from a highly ranked university.
About the job
Leads applied research on risk-prediction models and brings promising approaches into production.
What you'll do
- Spend roughly 70% of the role inventing and testing model designs and mining in-house data for predictive signals.
- Investigate language-model and multimodal techniques beyond tree-based approaches.
- Spend roughly 30% on production work, including deployment, data sourcing, and ongoing monitoring.
What they ask for
- Hands-on experience in an academic or university research lab.
- Advanced degree in a quantitative discipline such as computer science, mathematics, or physics.
- Deep practical experience building predictive models with classical machine-learning methods and modeling complex, noisy real-world systems.
- Strong Python skills, working knowledge of SQL, a dataframe library such as Pandas, and model explainability tooling; ability to work on-site five days a week.
Nice to have
- Experience at leading AI research organizations.
- Exposure to large language models.
Pay
USD 250,000 to 400,000 per year (base salary)
Tools
Python, SQL, Pandas
AI focus
Applied research and production deployment of predictive risk models, including investigating language-model and multimodal techniques.
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