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Open nowPosted 8 hours ago

AI Engineer, RL & Evals

Workable (global search)106,928 open roles

Where
San Francisco, CA, United States
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Your applicationOpen nowAI Engineer, RL & EvalsWorkable (global search) · San Francisco, CA, United States
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9.0% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 4 days.

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  4. 15.5%14 days
  5. 34.1%30 days
This job: posted 8 hours ago

Workable (global search) median: 4 days open

The posting

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.

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