Requirements

18+ years of industry or academia experience in NLP and unstructured data research and commercialization
Expert level knowledge working with Python and Deep Learning libraries such as PyTorch or TensorFlow
Familiar with recent advances in NLP/CV with a deep understanding of the basic classes of ML/DL algorithms (also the underlying assumptions)
Prior exposure to best practices in the software development lifecycle, and a commitment to implementing these practices appropriately in the context
High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information
Ability to articulate results and complex concepts to leadership
Must be able to produce solutions independently in an organized manner, work in a team and also be able to lead a team when required
Ph.D. in Natural Language Processing, Machine Learning, Computer Science, Data Science, Mathematics, or in related fields will be considered as a strong asset
A proven track record in top-tier conferences from AI/NLP domain will be a strong asset

Nice to Haves

Ph.D. in Natural Language Processing, Machine Learning, Computer Science, Data Science, Mathematics, or in related fields will be considered as a strong asset
A proven track record in top-tier conferences from AI/NLP domain will be a strong asset

Build products and services that are at the heart of research
Participate in decision-making processes and set new courses for our research projects
Collaborate with engineers and researchers across teams to help deliver cross-functional initiatives
Think creatively to find optimal solutions to our complex, often ambiguous problems
Participate in all stages of developing new LLM-based solutions in the domain of unstructured data processing
Work closely with other research, engineering, and product management to understand and shape the short and long-term product development strategy
Serve as a mentor to less experienced researchers, engineers, and product managers
Answer questions from the executive team for board reporting, publications, and industry reports

Snowflake is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances