Job Overview
At Snowflake, we are powering the era of the agentic enterprise. 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 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. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
THE MISSION We are seeking a Staff Research Scientist to serve as a technical pillar within our AI research organization. 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.
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
- Arctic Inference : High-performance LLM serving stack (Shift Parallelism, SwiftKV), open-sourced and powering Snowflake Cortex
- Arctic Long-Context Training : Enables 1M+ token context training on a single H200 GPU
- Agent World Models (AWM) : RL training across 1,000+ synthetic environments for tool-using agents
We focus on core challenges such as reliable reasoning, long-horizon planning, grounded generation, and scalable model and agent development .
IN THIS ROLE, 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 the team’s technical impact
- Contribute to the field through publications and open source
WE’RE LOOKING FOR: • Ph.D. 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 system