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You’ll work at the intersection of research and production - turning new ideas into scalable, real-world systems.\nThis role is ideal for someone who enjoys questioning architectural assumptions, experimenting with novel model designs, and pushing beyond standard Transformer-style approaches.\nWhat You’ll Work On\nResearch and develop new neural network architectures (e.g. alternatives or extensions to Transformers, recurrent / hybrid models, long-context systems)\n\nDesign and run architecture-level experiments (scaling laws, memory mechanisms, compute trade-offs)\n\nPrototype models end-to-end - from research code to training-ready implementations\n\nCollaborate with inference and systems engineers to ensure architectures are deployable and efficient\n\nAnalyze model behavior, failure modes, and inductive biases\n\nRead, reproduce, and extend cutting-edge research papers\n\nContribute to internal research notes, benchmarks, and open-source efforts (where applicable)\n\nWhat We’re 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