---
title: 'Staff Research Scientist, AI Agents & LLMs at Snowflake'
canonical: 'https://feeny.ai/job/staff-research-scientist-ai-agents-llms-snowflake-bellevue-ec7c2qrxarnw'
type: 'job'
last_seen: '2026-09-11'
---

# Staff Research Scientist, AI Agents & LLMs at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Bellevue, WA
- **Compensation:** $236k–$339k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-26
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/deaebf03-4681-417b-a870-648d0d6a2a94/application

**Skills:** LLM development, Model training, Model fine-tuning, Model alignment, Post-training, Agentic systems, Multi-agent systems, Tool use, Agent optimization, Systems thinking

> Snowflake seeks a Staff Research Scientist to serve as a technical pillar in the AI research organization, focusing on autonomous agents and large language models. The role involves defining research direction, developing models for enterprise reasoning, and advancing the AI stack including inference and training in...

## Job description

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 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). 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. Snowflake is growing fast, and we are scaling our team to accelerate AI innovation. 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. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. 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. 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 benefits information: [careers.snowflake.com](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland
- [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States
- [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA
- [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA
- [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA
- [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA
- [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia
- [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning  Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA
- [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom
- [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland