AI Engineer, RL & Evals
- San Francisco, CA, United States
$175,000 to $275,000 USD / year
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Job details
- Pay
- $175,000 to $275,000 USD / year
- Experience
- 2-7 years of relevant AI or reinforcement learning engineering experience, with depth building RL environments, evaluation systems or ML post-training systems.
- Posting language
- English
- Posted
Original job description
About the company
Our client is a seed-stage AI company building the data and infrastructure layer that improves model quality in subjective, creative domains, starting with design. It has raised $18.5M and has revenue-generating partnerships with frontier AI labs and application-layer companies. Its products support post-training, reinforcement learning, context and verification.
The role
As AI Engineer, RL & Evals, you will build reinforcement learning environments, evaluation frameworks and production infrastructure for creative domains. You will combine backend or full-stack product engineering with applied ML and own systems from design through delivery.
What you'll do
- Build and scale RL environments and evaluation frameworks for creative, non-verifiable domains.
- Design tasks and grading rubrics that capture design quality and taste.
- Build agent harnesses, context layers and supporting product infrastructure.
- Collaborate with internal research teams and frontier labs to improve model output quality.
- Ship production code end to end and build reliable backend systems and data pipelines.
Requirements
What we're looking for
- 2-7 years of relevant AI or reinforcement learning engineering experience, with depth building 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.
- Knowledge of distributed systems and data pipelines; relevant scraping, indexing, embedding or agent-harness work is valuable.
- A computer science degree and fluent English communication.
- Ability to work in the San Francisco office five days per week.
Bonus points
- Experience at creative technology, generative AI, crawling, indexing or data companies.
- Building agentic frameworks or evaluations for non-verifiable domains.
- Experience connecting research work to practical products and infrastructure.
Benefits
Compensation and benefits
- $175,000-$275,000 annual base salary.
- Competitive equity.
Location and work model
Full-time, on-site five days per week in Levi's Plaza, San Francisco, California. Visa transfers, including OPT and H1B transfers, are supported.