Staff Research Scientist - Physical AI / Multimodality

Snowflake
Bellevue
Workplace: OnsiteFull timeUSD 236,000 - 339,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Multimodal","Distributed compute","System design","Production-quality code","Research-to-production"]

Senior AI research role focused on building scalable training platforms and world-models for physical AI. You will lead greenfield efforts at the intersection of representation learning, world models, and policy optimization, translating research into production-ready platform capabilities and shaping cross-team collaboration.

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FursaFursa
Snowflake
Snowflake
3 months ago

Staff Research Scientist - Physical AI / Multimodality

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Senior AI research role focused on building scalable training platforms and world-models for physical AI. You will lead greenfield efforts at the intersection of representation learning, world models, and policy optimization, translating research into production-ready platform capabilities and shaping cross-team collaboration.
Location: Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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 learning
  • •Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora)
  • •Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making

Pay and Benefits

Salary: USD 236,000 - 339,200 annually

Key Requirements

  • •8+ years of relevant experience in machine learning engineering, AI research, or a closely related field (or equivalent experience)
  • •Deep expertise in at least two of the following areas: 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
  • •MS or Ph.D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent experience
Experience:8+ yearsAIMachine learningMultimodalResearch
Education:PhD / Doctorate
Skills:MultimodalDistributed computeSystem designProduction-quality codeResearch-to-production
Tech Stack:CLIPSigLIPDINOMAEDreamerV-JEPAI-JEPADiffusionVision-languageVideo world modelsCosmos/Genie/Sora

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn