Raydar
Research Engineer
$250K–$300K
San Francisco, California · Full-time · Posted Oct 6, 2026
- Experience
- Roughly 3 to 7 years of relevant experience.
About the job
Own the end-to-end improvement of machine learning models after initial training, combining applied research, engineering, dataset production, and simulated-environment design.
What you'll do
- Further-train models, including setting up compute infrastructure and preparing datasets.
- Design long-horizon tasks and simulated environments across scientific and technical domains.
- Build automated, self-improving workflows and integrate research with dataset production.
What they ask for
- Demonstrated depth in ML or AI research, such as reinforcement learning, evaluations, or interpretability, alongside strong software engineering ability.
- Hands-on experience refining models after initial training and producing curated datasets.
- Quick code comprehension and problem-solving, including PyTorch and debugging ML pipelines.
- Genuine, self-driven interest demonstrated through publications, side projects, open-source work, or writing.
Nice to have
- Domain expertise in neuroscience, physics, chemistry, or systems, paired with an ML and engineering core.
- Background at a leading AI lab or a data-focused technology company.
Pay
USD 250,000 to 300,000 per year (base salary)
Tools
PyTorch
AI focus
Further-train and improve machine learning models; design realistic, valuable tasks and simulated environments; build automated, self-improving workflows.
Model-written summary · the original posting is authoritative