Snowflake

1 month ago

Staff Research Scientist, Exotic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 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

Website LinkedIn

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Snowflake

1 month ago

Staff Research Scientist, Exotic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn