Job Description
📋 Description 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: 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 🎯 Requirements Ph.D. in Computer Science or related field with strong publications Expertise in LLM development (training, fine-tuning, alignment, or post-training) Experience with agentic systems (multi-agent, tool use, or agent optimization) Strong systems thinking under real-world constraints Proven technical leadership and end-to-end ownership Ability to translate research into impactful systems 🎁 Benefits Open research culture: publish, open-source, and shape the field Frontier AI, full-stack role across foundation models to inference/training Impactful work with enterprise data and production workloads
