# Research Engineer / Scientist, Reinforcement Learning

**Company**: Harvey
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $230K - $340K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/harvey/30df72cf-ee68-4194-864e-47745ca8b6e0?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d67063c4-42a

## Description

At Harvey, we're transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise.

As a Research Engineer / Scientist, Reinforcement Learning, you'll own how we adapt and improve leading open-weight models for legal work, focusing on post-training efforts.

**Role Overview** You'll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You'll help set the research direction and carry ideas from experiments through training runs to models used by customers.

**Responsibilities**

- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.

- Design and run post-training experiments across SFT and RL, building on leading open-weight models.

- Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break.

- Run and debug training at scale, addressing divergence, reward hacking, and instability.

- Build and use rigorous evals to track improvements and decide what ships.

- Design, implement, test, and debug code across our research stack.

**Requirements**

- 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.

**Compensation** $230,000 - $340,000 USD per year

## Skills

### Required
- Python
- Reinforcement Learning
- Machine Learning
- Distributed Training

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/harvey/30df72cf-ee68-4194-864e-47745ca8b6e0?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)