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Principal Machine Learning Scientist

Snowflake

Salary not specified
Oct 24, 2025
Menlo Park, CA, US
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Snowflake is looking to apply AI & ML to a variety of domain specific problems across Snowflake's business data to drive large-scale projects from idea to completion and empower enterprises to achieve their full potential.

Requirements

  • Experience applying AI, ML & statistical modeling on large datasets; pre-processing, data quality, feature engineering; the whole nine-yards.
  • Deep understanding of the basic classes of ML algorithms, statistics & linear algebra; with a keen interest in the underlying theory & assumptions.
  • Experience building AI & LLM based applications in a business environment; up to date with advancements in the Gen-AI space, in an applied sense with techniques such as RAG, in-context learning, search, agentic workflows etc.
  • Solid understanding of NLP, embedding methods, foundational models and model fine-tuning; with experience in developing conversational & agentic AI.
  • Experience writing production-quality, scalable code using Python.
  • Strong with the software development lifecycle and its best practices
  • Experience managing AI/ML project lifecycles; with a point-of-view for designing and developing end-to-end turn key ML solutions, enablement & adoption baked into the solution.

Responsibilities

  • Conceptualize, design and lead the execution of large AI & ML projects, aligning with the business goals, delivering measurable value & impact.
  • designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions.
  • Participate in all stages of development, ideation to production.
  • analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner.
  • showcase internal solutions to customers, help them envision solutions stringing Snowflake platform capabilities together, partner with internal teams that enable customer solutions.
  • defining the roadmap and aligning it with business goals.
  • managing team workflows, reviewing deliverables and optimizing the ensuing processes.

Other

  • High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problems.
  • Exceptional problem solving skills with the ability to think strategically.
  • Demonstrable experience and interest in problem formulation based on relatively abstract information.
  • High levels of adaptability, to respond to fast-evolving project scope, adjusting strategies & plans while delivering value; comfortable being scrappy.
  • Strong stakeholder management skills; with the ability to articulate results and complex concepts to all audiences.