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You will design and build interfaces for AI infrastructure and tools to make complex agent workflows actionable. You will also partner with research and engineering teams to translate reinforcement learning workflows into usable product features.
Join a growing team building AI infrastructure and tools for creating and evaluating AI training environments. You will combine front-end engineering and product design to make complex agent workflows clear, useful, and actionable.
Design and build interfaces across a product platform and marketplace, from early concepts through launch.
Make agent runs, evaluation results, reward signals, and quality feedback understandable and actionable.
Partner with research and engineering to turn reinforcement learning and evaluation workflows into useful tools.
Talk with users, observe their challenges, and improve the product based on their feedback.
Develop thoughtful interaction patterns and uphold a high bar for usability, visual quality, and implementation.
At least 3 years in a design engineering, product design, or similar role shipping product interfaces.
Experience primarily as a full-stack engineer with design experience, including front-end skills and a track record of turning designs into working interfaces.
A portfolio demonstrating strong visual design and shipped product work improved through user feedback.
Technical education or strong technical fundamentals, with the ability to explain complex concepts clearly.
Experience collaborating closely with engineers and researchers.
Developer tools, data-rich products, research software, AI agents, evaluation, reinforcement learning, or training data experience is useful.
Experience building reusable interface patterns or working independently in an early-stage company is a plus.
Base salary: $130,000 to $225,000 USD annually. Visa sponsorship is available.
On-site in San Francisco, California, with remote options available.
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