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Posted Mar 26Staff Research Scientist, AI Agents & LLMs
at Snowflake
Remote
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.
- THE MISSION We are seeking a Staff Research Scientist to serve as a technical pillar within our AI research organization.
- Our team operates at the frontier of enterprise AI, delivering both state-of-the-art models and production systems, including: - Arctic LLM: Enterprise foundation models optimized for performance and efficiency - Arctic-Text2SQL: Post-trained reasoning models with frontier-level quality at a fraction of cost and latency - Snowflake Intelligence: Brought research to production through agentic innovations in multi-step reasoning, Deep Research for structured and unstructured insights, and system optimization
- YOU WILL: - Define research direction in Agentic AI and LLMs - Develop models: train, fine-tune, and align models for enterprise reasoning and tool use - Advance autonomous agents: drive state-of-the-art capabilities in multi-step reasoning and tool use - Advance the stack: retrieval, grounding, memory, and multi-agent coordination - Establish evaluation standards for reliability, safety, and efficiency - Drive research breakthroughs into production within Snowflake’s platform - Mentor and lead to amplify
- in Computer Science or a related field with a strong publication record - Expertise in LLM development (training, fine-tuning, alignment, or post-training) -
- Experience with agentic systems (multi-agent systems, tool use, or agent optimization) - Strong systems thinking under real-world constraints (latency, cost, reliability) - Proven technical leadership and end-to-end ownership - Ability to translate research into impactful systems WHY SNOWFLAKE?
- Frontier AI, Full Stack Work across the full stack—from foundation models (Arctic LLM, Arctic Text2SQL) to agent systems (Snowflake Intelligence) and inference/training infrastructure (Arctic Inference, Arctic Training).
- Snowflake is growing fast, and we are scaling our team to accelerate AI innovation.
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- 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.
- You will not just execute on roadmaps—you will define them.
- At the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents—shifting from passive data access to autonomous execution.
- State-of-the-Art, Real Impact Drive cutting-edge research that ships—powered by massive enterprise data and production workloads.
- Hard, Meaningful Problems Build autonomous systems for reliable reasoning over enterprise data—where correctness, cost, and latency all matter.
- Open Research Culture Publish, open-source, and help shape the field.
- Are you ready to build the brain for the Enterprise Data Cloud? Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
- It is every employee's duty to keep customer information secure and confidential.
- 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.