Plato is an applied research lab building the foundational infrastructure to train specialized AI agents. We turn real-world data streams into high-fidelity simulated environments that generate the training signal needed to make capable models. Our work supports frontier labs, startups, and enterprises building AI systems for complex, high-stakes work. Plato's product is the interface between frontier AI research and real-world deployment. Our systems are used by labs, startups, and enterprises building AI agents for complex, high-stakes work. The research only matters if it becomes a product that technical teams can understand, trust, operate, and build on. As a Member of Technical Staff, Product Engineer, you will own the end product: the workflows, interfaces, backend systems, and product primitives that turn Plato's research loop into usable software for customers and internal teams. You will build 0->1 products at the edge of AI research, customer workflows, and production engineering. This role is for someone who likes turning ambiguous problems into real products: talking to users, understanding messy technical workflows, designing the right abstraction, building the full stack, and iterating quickly as the research and customer needs evolve. You might build product surfaces for labs to inspect and validate generated environments, workflows for startups to turn real-world traces into training tasks, tools for enterprises to evaluate agent behavior, or internal systems that help researchers understand rollouts, failures, rewards, and telemetry. You will stay close to the research loop, but your center of gravity is the product: making powerful systems usable, legible, and dependable.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed