Harvey is hiring a Member of Technical Staff, Infrastructure to scale the post-training stack for legal-focused models. You’ll own distributed training, RL rollout systems, and environments where models learn to interact with tools and documents.
You’ll work with a small high-bar team of engineers and researchers to make training faster and more reliable. You’ll partner with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation, with the
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ML Infrastructure Engineer, Distributed Systems employer: Speedrun Talent Network
At Harvey, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through our focus on leadership development and the unique opportunity to shape the future of AI in legal and professional services. Located in the vibrant EMEA region, we offer a collaborative environment where your contributions directly impact our rapid scaling and success.
