Checked on their board 23 Oct

Raydar Hiring now

AI Engineer, RL & Evals

AI company improving model quality. You'd work on backend systems and machine learning evaluation.

San Francisco, CAFull-time$175K–$275K a yearPosted 11 days ago
Who to email about itThe Head of Data at RaydarTheir email address, hidden
Apply on Workable ↗

We find the person most likely hiring for it, check their work email, and write yours in your voice. Applying through the form is free.

About the role

From Raydar's posting on Workable, as they wrote 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.

Live on Raydar's board as of 23 Oct. We check it every day.

Apply on Workable ↗

Tracking Raydar

Applying to Raydar? Email the person hiring instead.

Free to try: see the roles that fit you and who's hiring for them. No sign-up to start.

The company

About Raydar

Raydar writes email addresses like jane@raydar.xyz (a made-up name). How we know

More roles at Raydar

Similar roles

Tracking Raydar

Get roles like this one the day they're posted

A role stays uncontested for about four days. Here's the window, and where we put you in it.

Free to try: see the roles that fit you and who's hiring for them. No sign-up to start.

  1. LiveWatching Raydar0 applicants
  2. Same dayRead off their careers page~2 applicants
  3. Next morningIn your matches, with who's hiring~5 applicants
  4. Day 2You've emailed them~8 applicants
  5. Day 7+Hits the job boards250+ applicants