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The LLM Data Company (YC X25)

Founding Research Engineer

The LLM Data Company (YC X25), San Francisco

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The LLM Data Company (YC X25) provided pay range

This range is provided by The LLM Data Company (YC X25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Direct message the job poster from The LLM Data Company (YC X25)

The LLM Data Company creates tooling for model evaluation and reinforcement learning. We’re currently building doteval — an AI-assisted workspace for technical and non-technical staff to create evals, rewards functions, and environments. We’re a seed-stage company backed by Y Combinator and Tier-1 VCs and work with some of the largest AI companies in the world.

We’re looking for founding engineers to support the rapid RL compute scaling effort.

Role

  • Design and implement scalable RL recipes for post-training task-specific models
  • Develop modular environments, reward functions, and evaluator scaffolds for internal and customer-facing tasks
  • Drive research at the intersection of scalable infra and modern RL frameworks to enable RL-as-a-service
  • Drive foundational research to publish open source environments and training data
  • Build data generation and curation pipelines to support frontier post-training
  • Collaborate with product teams to deliver a user friendly interface for non-technical users to generate data

Qualifications

  • Masters or PhD in Computer Science or related field
  • Comfort with core tooling (verl, PyTorch, etc.)
  • Familiarity with modern post-training techniques (GRPO, etc.)
  • Experience with evaluations and reward engineering
  • Published in top journals (ICLR, NeurIPS, ICML, etc.)

To apply

Send your CV and a short note to

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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