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Design and build product interfaces for AI infrastructure, focusing on reinforcement learning workflows and agent behavior visualization. Collaborate with researchers and engineers to translate complex technical requirements into actionable, user-friendly tools.
Join a growing team building AI infrastructure for creating and evaluating reinforcement learning environments. You will design and build product experiences that help users understand agent behavior, improve training data, and make informed decisions.
Design and build interfaces across the platform and marketplace, from early concepts through release.
Make agent runs, evaluation results, reward signals, and quality feedback clear and actionable.
Work with research and engineering to turn complex reinforcement learning and evaluation workflows into useful tools.
Talk with users, observe challenges, and improve the product based on feedback.
Develop reusable interaction patterns and maintain strong usability, visual quality, and implementation standards.
At least 3 years of experience as a design engineer, product designer, or in a similar role shipping product interfaces, with a primarily full-stack engineering background.
Front-end engineering skills and experience turning design work into working product interfaces.
A portfolio demonstrating shipped design-engineering work and visual design quality.
Experience shipping products, learning from users, and iterating based on feedback.
Technical education or background, clear communication, and experience working closely with engineers and researchers.
Developer tools, data-rich products, research software, AI agents, evaluations, reinforcement learning, training data, or early-stage company experience are useful.
Base salary: $130,000 to $225,000 annually. Visa sponsorship is available.
On-site in San Francisco, California, with remote arrangements also available.
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