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The LLM Data Company

Founding Senior Research Engineer

Reposted 17 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
200K-275K Annually
Senior level
In-Office
San Francisco, CA
200K-275K Annually
Senior level
The Founding Senior Research Engineer will design scalable RL solutions, develop environments, and drive foundational research, while collaborating with product teams.
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About The LLM Data Company

The LLM Data Company (YC X25) provides post-training data and RL environments to foundation model labs and frontier applied AI companies. We have raised $3.6m from Tier 1 VCs and are growing 200%+ month-over-month.

Responsibilities

  • 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

  • Master 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.)

Why you should join

  • Cutting-edge research: Work on unpublished, novel training environments

  • Direct lab exposure: Projects that labs actually use and validate in production

  • High autonomy: Wide design space to propose and run experiments with minimal oversight

  • Early team member: Join as one of the first 10 people with significant equity upside

Top Skills

Python
PyTorch
Rl Frameworks

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