Raydar
Research Scientist
$200K–$300K
San Francisco, California · Full-time · Posted Oct 15, 2026
- Education
- Doctoral degree in a quantitative discipline such as computer science, machine learning, or statistics.
About the job
Conduct applied machine-learning research, build and curate datasets, and take predictive, optimization, and language-model approaches into production.
What you'll do
- Lead research projects from initial idea through validation and production deployment.
- Develop predictive and optimization models, and curate datasets for real-world systems.
- Combine language-model capabilities with quantitative models and retrain models as conditions change.
What they ask for
- Doctoral degree in a quantitative discipline such as computer science, machine learning, or statistics.
- Track record of taking research projects through to live production models.
- Hands-on background in sequential-data forecasting, mathematical modeling, or optimization methods.
- Strong Python coding skills and experience with a mainstream neural network library.
Nice to have
- Grounding in machine-learning theory or theoretical computer science.
- Substantial large language model experience, or experience with machine learning at scale.
Pay
USD 200,000 to 300,000 per year (base salary)
Tools
Python
AI focus
Applied machine-learning research involving predictive and optimization models, language-model techniques, dataset development, production deployment, and model retraining.
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