Harvey

Lead full-stack product engineering at Harvey, building scalable AI-native experiences across web, desktop, mobile, Google Docs, Microsoft Word, and APIs. You’ll own high-impact projects spanning frontend, backend, data processing, security, and agentic workflows.

Harvey is hiring a Legal Engineer to help law firms and legal teams adopt AI through pre-sales discovery, demonstrations, onboarding, training, and custom workflow solutions. The role combines practicing-law expertise with customer-facing solution design across pre- and post-sales engagements.

Harvey is hiring a Research Engineer or Scientist to advance post-training for open-weight language models used in legal reasoning and agentic workflows. The role spans SFT, reinforcement learning, reward design, large-scale training, evaluation, and taking research from experiments to customer-facing models.

Build the distributed infrastructure that powers Harvey’s post-training of open-weight models for legal work. You’ll work across training, inference, agent environments, evaluation, and production systems alongside research scientists.

Build the infrastructure that powers Harvey’s post-training of open-weight models for legal work, spanning distributed training, RL rollouts, agent environments, and research tooling. You’ll work closely with researchers to make ML experimentation faster, more reliable, and easier to bring into production.

Build the data, evaluation, and measurement systems that power Harvey’s legal AI post-training and agent capability efforts. You’ll turn expert judgment and customer feedback into reliable training signals, benchmarks, and measurable model improvements.

Build the infrastructure powering Harvey’s post-training of open-weight models for legal work. You’ll own distributed training, RL rollouts, agent environments, evaluation systems, and reliable model deployment in close partnership with researchers.

Build the infrastructure that powers Harvey’s post-training of open-weight models for legal work. You’ll develop distributed training and rollout systems, agent environments, and internal tooling that help research become reliable production capabilities.