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Machine Learning Intern

Snowflake

Join Snowflake as a Machine Learning Intern

Snowflake is at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. We are looking for a talented and motivated Machine Learning Intern to join our research team and work in the NLP/LLM/Document Understanding field.

What You Will Do

As a Machine Learning Intern, you will:

  • Apply your skills to help us build cutting-edge technology, such as LLMs, that will be integrated into the Snowflake platform.
  • Participate in various stages of R&D of new cutting-edge LLMs.
  • Provide meaningful contributions to the NLP/LLM/Document Understanding research field.
  • Work closely with supervisors (manager and mentor) and receive detailed direction without micromanagement.
  • Be embraced as a full member of the Snowflake Machine Learning team.

What We Offer

  • Paid, full or part-time (minimum 20 hours per week) internships in the Machine Learning team.
  • Post-internship career opportunities, including full-time positions and/or additional internships.
  • Direct access to supervisors and feedback throughout your internship, culminating in a final evaluation.

What We Expect

  • Currently pursuing a BS, MSc, or PhD in Computer Science, Mathematics, or a related field.
  • Expertise with Python and deep learning libraries, particularly PyTorch.
  • Experience in the NLP field is a plus.
  • Strong coding skills and knowledge of algorithms.
  • Familiarity with GPUs, CUDA, and low-level optimizations is a plus.
  • Curiosity and enthusiasm for open-ended, complex problems.
  • Ability to cooperate in a dynamic, innovative research team.
  • Some track record in conferences from the AI/ML/NLP field is a strong asset.

Duration

  • The internship duration is flexible, ranging from 3 to 12 months, with a flexible start date.

Join us at Snowflake and be part of a team that is pushing the boundaries of data technology and innovation.

Benefits
Extracted with AI

  • Paid internship
  • Post-internship career opportunities
  • Direct access to supervisors
  • Feedback throughout internship

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