Harvey

Research Engineer, Post-Training

San Francisco

Sponsorship not specified$231k-$340kDetected 26 days ago

PythonMachine LearningLLMsAgentic AIProduct ManagementResearch

About the role

Post-training is how Harvey turns expert feedback and agent traces into models that are meaningfully better at legal work.
You will work closely with internal and external research collaborators on post-training efforts that matter to our product roadmap.
The ideal candidate has extensive hands-on experience training open weight models, either in a research or production setting, and enough engineering depth to run and debug experiments efficiently.

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.
Work with Harvey researchers and external research partners to define experiments, evaluate methodology, review results, and keep projects moving toward concrete model improvements.
Ability to self-manage ambiguous applied research projects and communicate clearly with researchers, engineers, product teams, domain experts, and external partners.
This is a rare chance to help build a generational company at a true inflection point.

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.

Experience with distributed training, inference systems, GPU workloads, or large-scale ML experimentation.
Research publications, open-source contributions, or shipped industry work in LLMs, agents, evaluation, or ML systems.
$231,000 - $340,000
YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].

$231,000 - $340,000
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].

At Harvey, we're transforming how legal and professional services operate.
With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time.

This listing is sourced directly from Harvey's careers page and normalized into a canonical job model.