# Research Engineer / Scientist, Reinforcement Learning at Harvey

- Company: Harvey
- What the company does: Legal AI tailored for leading law firms and corporate legal teams worldwide. Harvey streamlines contract analysis, due diligence, compliance, and litigation. Backed by Kleiner Perkins, Lightspeed and Sequoia.
- Company website: https://www.harvey.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote
- Work setup: Remote
- Pay: $230K to $450K base salary per year (USD)
- Posted: 2026-11-02
- Apply by: 2026-12-17
- Apply: https://jobs.ashbyhq.com/harvey/30df72cf-ee68-4194-864e-47745ca8b6e0?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/harvey-research-engineer-scientist-reinforcement-learning/

## About the role

In this role, you'll own how we adapt and improve leading open-weight models for legal work. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results
- Deep ML fundamentals and experience getting distributed training runs working reliably
- Strong engineering skills in Python, with production-quality code and end-to-end system ownership
- Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required
- We are hiring for this role across multiple levels

Tags: Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/harvey-research-engineer-scientist-reinforcement-learning/