Machine Learning Intern Full-time

Build the future of data. Join the Snowflake team.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

We’re looking for a talented and motivated ML Intern to join our research team and work in the NLP/LLM/ Document Understanding field. In this role, you will apply your skills to help us build cutting-edge technology (e.g., LLMs) that will be integrated into the Snowflake platform and help our customers benefit from the GenAI revolution.

WHAT WE OFFER:

Paid, full or part-time (min. 20h per week) internships in the Machine Learning team.

• Post-internship career opportunities (full-time and/or additional internships).
• Opportunity to provide meaningful contributions to the NLP/LLM/Document Understanding research field.
• Participate in various stages of R&D of new cutting-edge LLMs.
• Direct access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and the final evaluation.
• Embraced as a full member of the Snowflake Machine Learning team.

WHAT WE EXPECT:

• BS or MSc or PhD in progress in Computer Science, Mathematics, or a related field.
• Expertise with Python and DL libraries, PyTorch in particular. Experience in the NLP field will be a plus.
• Strong coding skills, and algorithmics. Knowledge about GPUs, CUDA, and low-level optimizations will be a plus.
• Familiarity with recent advances in NLP/LLM with an understanding of the fundamental ML/DL algorithms.
• Prior exposure to the software development lifecycle, and a commitment to implementing these practices appropriately in the context.
• Curiosity and eager 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 will be a strong asset.
• Duration: 3~12 months; start date flexible.