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Staff Research Scientist - Physical AI / Multimodality

Snowflake · US-WA-Bellevue

hybridsenior$236,000–$339,200Posted Aug 18, 2026PythonPyTorchTensorFlowCUDADistributed ComputingComputer VisionReinforcement LearningGenerative Models

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About this role

**Staff Research Scientist - Physical AI / Multimodality** **About the Role** Snowflake is seeking a Staff Research Scientist to build next-generation training and learning platforms for physical AI. This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization. **Key Responsibilities** • Design and build scalable training infrastructure for representation models (contrastive, self-supervised approaches) • Develop latent world models that learn environment dynamics through imagined rollouts • Architect action/policy model pipelines, including vision-language-action models and diffusion-based policy learning • Build generative simulator frameworks for physically plausible future state generation • Develop multimodal generative capabilities fusing visual, language, and structured inputs • Lead cross-team technical decisions on training frameworks and evaluation infrastructure • Drive research-to-production pathways and contribute to broader research community **Required Qualifications** • 8+ years in machine learning engineering, AI research, or related field • Deep expertise in 2+ of: representation learning, world models, RL, generative modeling, robotics/embodied AI, scientific ML • Hands-on experience training large-scale models with distributed compute • Strong software engineering fundamentals and production-quality code • Ability to drive cross-team initiatives with ambiguity • MS or Ph.D. in CS, ML, Robotics, Physics, or equivalent experience **Bonus Experience** • Latent dynamics modeling, model-based RL, or physics-informed neural networks • Open-source ML framework contributions • Scientific/structured modeling background • Controllable video generation or neural simulation experience • Publications at top venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS) **Why Join** Define a new research direction from the ground up with infrastructure, data scale, and research ambition to make it real. Work alongside teams shipping frontier models and production agentic systems. For salary and benefits, visit: careers.snowflake.com

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