AS A RESEARCH SCIENTIST AT SNOWFLAKE YOU WILL:
- Think creatively to find optimal solutions to our complex, often ambiguous problems.
- Participate in all stages of the developing new LLM-based solutions in the domain of unstructured data processing.
- Work closely with other research, engineering, business teams to understand and shape the short and long term product development strateg.
- 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.
OUR IDEAL CANDIDATE WILL HAVE:
- 7+ years industry or academic experience in the field of AI.
- 3+ years experience writing production quality scalable code using Python to build NLP models (working on Information Extraction or LLMs problems will be a plus).
- Expert level knowledge working with Python and Deep Learning libraries such as PyTorch or Tensorflow.
- Familiar with recent advances in NLP/CV and/or knowledge working with Deep Learning libraries such as PyTorch or Tensorflow is a big plus.
- Familiar with recent advances in NLP/CV with deep understanding of the basic classes of ML/DL algorithms (also the underlying assumptions).
- Reasonable 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 leading 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.
- Proven track record in top-tier conferences from AI/NLP domain will be a strong asset.