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Research Engineer, Post-Training

Harvey· Engineering
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Hybrid (San Francisco)$231k - $340kFull-timePosted 3mo ago

About the role

Post-training-focused role to scale Harvey's feedback-to-model loop, designing and running model training experiments, interpreting results, and collaborating with internal and external research partners to improve data, environments, graders, and training recipes for legal work.

Responsibilities

  • Drive post-training experiments, pushing agent performance while navigating the Pareto frontier of cost, latency, security, and governance.
  • Optimize agent harnesses, including domain-specific skills, tools, subagents, retrieval strategies, and validation loops that improve quality on long-horizon legal work.
  • Design and develop grading and reward systems that are reliable enough for evaluation, efficient enough for iteration, and strict enough for high-stakes legal work.
  • Study agent behavior, identifying patterns that correlate with successful work product, and converting those findings into training data, evals, or harness changes.
  • Work with Harvey researchers and external research partners to define experiments, evaluate methodology, review results, and keep projects moving toward concrete model improvements.

Qualifications

  • 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.

Skills

Required:Post-training / model-training experiencePython

Benefits

  • Comprehensive health, dental and vision coverage
  • 401k match up to 4%
  • flexible PTO
  • Eligibility to participate in equity plan and benefits program
Last updated Aug 5, 2026. Interested? Apply on the company site.
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About Harvey

Professional Class AI

Harvey is a platform built to meet the standards of the world’s leading professional service firms.

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