Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “San Francisco”
Apply on Harvey's site ↗
Opens the employer's official application page.
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About this role
Harvey is hiring for a Research Engineer, Post-Training role (full-time). See the official posting for full details.
Requirements
- Hands-on experience with post-training or model-training work, such as SFT, preference optimization, RLHF/RLAIF, reward modeling, distillation, or adapting open-weight models to specialized domains.
- Strong judgment about model behavior: you can read traces, inspect outputs, identify failure modes, and reason about whether a metric is measuring the thing that matters.
- Strong Python and research-engineering ability. You can write clean code, debug experiments, and build the simple but reliable systems needed to make research move faster.
- Ability to self-manage ambiguous applied research projects and communicate clearly with researchers, engineers, product teams, domain experts, and external partners.
Summarized from the employer's posting — check the full posting for every requirement.
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