Research Engineer: ML Systems & Data Pipelines in SF

raydar; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Job summary

Raydar is seeking a Research Engineer in San Francisco, on-site, to advance machine learning models from training through deployment. You will design long-horizon tasks, create simulated environments, and build automated workflows that scale model output beyond headcount growth.

The role blends applied research with hands-on engineering, requiring deep ML knowledge, strong software skills, and the ability to produce well-curated datasets.

Qualifications

• Demonstrated depth in ML/AI research with practical work in reinforcement learning, evaluations or interpretability.
• Strong software engineering ability alongside research depth.
• Hands-on experience refining models after initial training and producing well-curated datasets.

Responsibilities

• Take models through further training stages end to end, from compute setup to dataset preparation.
• Design long-horizon tasks and simulated environments across scientific domains.
• Build automated, self-improving workflows to scale output.
• Treat research and dataset production as an integrated function.

Skills

ML research

Software engineering

PyTorch

ML pipeline debugging

Code comprehension

Publications/open-source

Tools

PyTorch

Job description

Raydar is seeking a Research Engineer in San Francisco, on-site, to advance machine learning models from training through deployment. You will design long-horizon tasks, create simulated environments, and build automated workflows that scale model output beyond headcount growth.

The role blends applied research with hands-on engineering, requiring deep ML knowledge, strong software skills, and the ability to produce well-curated datasets.