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San Francisco, United States

AI Engineer - RL & Evals

Raydar · San Francisco · United States

Salary
$175,000–$275,000 per year
Contract
Full time
Occupation
Data Scientist

Posted: 10/12/2026 · Last checked: 10/28/2026

Job description

Quoted in full from Raydar's job posting. Gavroche does not edit it.

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.

From Gavroche data

Figures computed from live adverts on Gavroche; the job text above is the employer's.

Similar roles in San Francisco

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What data scientist adverts in the United States state

Middle half: 173,125 – 250,000 USD a year; median 208,875 USD.

From 368 adverts by 153 employers that state a salary, annualised.

How data scientist roles in the United States are worked

6% fully remote · 2% hybrid · 92% do not say

Of 164 adverts. An advert that does not state a work mode is counted as not saying, not as on-site.

New openings in San Francisco, by week

  1. 8/3/2026 143
  2. 8/10/2026 193
  3. 8/17/2026 211
  4. 8/24/2026 210
  5. 8/31/2026 295
  6. 9/7/2026 271
  7. 9/14/2026 332
  8. 9/21/2026 390
  9. 9/28/2026 472
  10. 10/5/2026 431
  11. 10/12/2026 515
  12. 10/19/2026 369
  13. 10/26/2026 202

4,034 openings over 12 weeks, by the week they were published.

Other roles at Raydar

749 open, including roles outside the United States.