Raydar
Research Scientist, Machine Learning
$200K–$400K
San Mateo, California · Full-time · Posted Oct 15, 2026
- Experience
- About 3 to 7 years of applied research.
- Education
- Doctorate or comparable hands-on experience in a quantitative or technical discipline.
About the job
Leads research on machine-learning systems that continue learning and improving after deployment, and works with engineers to bring research results into production.
What you'll do
- Build and lead a research program on model memory, adaptation, and continued improvement.
- Guide technical direction and rapidly run experiments on promising research ideas.
- Partner with software and ML engineers to develop datasets, evaluate results, and integrate findings into the product.
What they ask for
- Doctorate or comparable hands-on experience in a quantitative or technical discipline.
- Research background in continuous learning, few-shot adaptation, self-improvement, or memory; reinforcement learning or agent systems alone is insufficient.
- Practical experience post-training large models using supervised and reinforcement-based approaches, plus a record of translating research into production systems.
- Publications at leading machine-learning conferences or journals; strong coding in Python, a major deep-learning framework, and large-scale multi-machine training; able to work on-site.
Nice to have
- Prior experience at a research lab, large technology company, or leading AI developer.
- Experience applying post-training techniques to agents handling long, multi-step tasks.
Pay
USD 200,000 to 400,000 per year (base salary)
Tools
Python
AI focus
Research into machine-learning systems that retain knowledge, adapt quickly, and improve after deployment; includes post-training large models and potentially agents handling long, multi-step tasks.
Model-written summary · the original posting is authoritative