Staff Research Scientist: Autonomous AI Agents & LLMs

Snowflake; Bellevue (KY); On-site; USD 250,000 - 350,000; Full time

Benefits offered by this job

Open research culture

Publication & open source

Job summary

Snowflake Staff Research Scientist role focusing on autonomous agents and large language models. You will build models and systems turning enterprise data into self-directed decision-making capabilities.

You will train, fine-tune, and align models for enterprise reasoning and tool use, advance multi-agent systems, and drive production-ready research while mentoring teammates and contributing to the field.

Qualifications

• Ph.D. in Computer Science 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.

Responsibilities

• 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.

Skills

LLM development

Agentic systems

Systems thinking

Technical leadership

End-to-end ownership

Research to production

Education

Ph.D. in Computer Science

Job description

Snowflake Staff Research Scientist role focusing on autonomous agents and large language models. You will build models and systems turning enterprise data into self-directed decision-making capabilities.

You will train, fine-tune, and align models for enterprise reasoning and tool use, advance multi-agent systems, and drive production-ready research while mentoring teammates and contributing to the field.