Raydar
Machine Learning Researcher
$200K–$250K
San Francisco, California · Full-time · Posted Oct 1, 2026
- Experience
- Experience in relevant areas is requested; no number of years stated. Exposure to rapid growth at a leading AI lab or as a startup founder or early employee is requested.
About the job
Develop, train, validate, compress, and ship compact machine learning models designed to run on consumer hardware.
What you'll do
- Lead training and refinement of small models, including model compression.
- Own model capabilities end to end, from data choices and experiments through testing and production release.
- Document findings, collaborate across teams, and deliver model builds against measurable goals.
What they ask for
- Hands-on experience with modern model training, including initial training, fine-tuning, and reinforcement learning methods.
- Practical experience with model compression and techniques for improving small models.
- Experience in reinforcement learning and/or running models on local devices; familiarity with memory management and GPU performance tuning.
- Ability to design quality-improving experiments and own delivery of working models from start to finish.
Nice to have
- Published research in reinforcement learning, on-device machine learning, or efficient inference.
- Experience shipping models under tight hardware timelines or working with machine learning at consumer scale.
Pay
USD 200,000 to 250,000 per year (base salary)
Tools
GPU
AI focus
Training and refining compact models, including reinforcement learning and model compression, for consumer hardware; delivering models into production.
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