Raydar
AI Engineer, RL & Evals
$175K–$275K
San Francisco, California · Full-time · Posted Oct 12, 2026
- Experience
- 2-7 years of relevant AI or reinforcement learning engineering experience.
- Education
- Computer science degree.
- Visa sponsorship
- Visa transfers, including OPT and H1B transfers, are supported.
About the job
Builds reinforcement-learning environments, evaluation frameworks, and production infrastructure to improve AI model quality in creative domains.
What you'll do
- Build and scale RL environments and evaluation frameworks, including tasks and grading rubrics for design quality.
- Develop agent harnesses, context layers, backend systems, data pipelines, and supporting product infrastructure.
- Collaborate with research teams and frontier labs, and ship production code end to end.
What they ask for
- 2-7 years of relevant AI or reinforcement learning engineering experience, with depth in RL environments, evaluation systems, or ML post-training systems.
- Strong full-stack or backend engineering skills and demonstrated production shipping experience.
- Experience with Python, PyTorch, RL, ML evaluation frameworks, and LLMs.
- Computer science degree, fluent English communication, and ability to work in the San Francisco office five days per week.
Nice to have
- Experience at creative technology, generative AI, crawling, indexing, or data companies.
- Experience building agentic frameworks or evaluations for non-verifiable domains, or connecting research work to practical products and infrastructure.
Pay
$175,000-$275,000 USD annual base salary
Tools
Python, PyTorch, RL, ML evaluation frameworks, LLMs
AI focus
Builds reinforcement-learning environments, evaluation frameworks, and agent infrastructure for improving model output quality in creative, non-verifiable domains.
Model-written summary · the original posting is authoritative