Research Engineer

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Percepta is an applied AI company partnering with General Catalyst to bring frontier technology to industries like healthcare, manufacturing, and energy. As a Research Engineer, you will build and own the large-scale training and inference infrastructure and distributed systems that underpin four research tracks: world modeling, forecasting, user modeling, and optimization. You will embed with customers to ship production AI systems and feed learnings back into Mosaic, Percepta's in-house agentic workflow toolkit.

• Build and own large-scale training and inference infrastructure and reliable distributed systems
• Prototype, build, and deploy AI systems in real customer production environments
• Embed with customers to understand constraints and become their technical partner on applied AI
• Contribute new features, patterns, and abstractions back into the Mosaic platform
• Partner with Embedded Product Managers to create reusable playbooks for future customers

• Experience with high-performance, large-scale distributed systems
• Track record of scaling research ideas into production systems
• Proven execution in ambiguous, fast-moving environments
• Excellent communication with technical and non-technical stakeholders
• Strong ownership mindset and passion for AI's transformative potential

• Large-scale model training and inference
• Implementing LLM post-training recipes
• Familiarity with vLLM/SGLang, Ray, and Kubernetes
• Distributed checkpointing and multi-node/multi-GPU training
• Asynchronous training and inference with VeRL, ROLL, SkyRL, AReaL, or CleanRL