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Posted 2 days agoStaff Research Scientist, Exotic AI
at Snowflake
Remote
Responsibilities
- YOU WILL: - Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures) - Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families) - Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy
Requirements
- To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
- You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
- We are hiring a Staff Research Scientist, Exotic AI for our AI Research team.
- You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments.
- experience in machine learning engineering, AI research, or a closely related field (or equivalent experience) - Deep expertise in at least two of the following: representation learning, world models, reinforcement learning, generative modeling, robotics/embodied AI, or scientific ML - Hands-on
- experience training large-scale models (vision, language, or multimodal) with distributed compute - Strong software engineering fundamentals: system design, performance optimization, and production-quality code - Demonstrated ability to drive cross-team technical initiatives with ambiguity and limited direction - Track record of translating research ideas into working systems at scale - MS or Ph.D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent experience
- Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures) - Contributions to open-source ML frameworks or foundation model training codebases - Background in scientific/structured models (molecular modeling, materials science, weather/climate) -
- Experience building controllable video generation or neural simulation environments - Publications at top venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS) WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE? This is a rare opportunity to define a new research direction from the ground up.
- You'll be building the foundational training platform for physical AI at a company with the infrastructure, data scale, and research ambition to make it real.
- Our team already ships frontier models (Arctic LLM, Arctic Inference) and production agentic systems (Snowflake Intelligence).
- You'll have the resources of a platform company with the pace and autonomy of a research lab Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- BONUS POINTS FOR THE FOLLOWING: -
- How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
- This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization.
- You will help define its technical direction from day one.
- You won't be maintaining existing systems or iterating on someone else's roadmap.
- We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.