Snowflake Machine Learning Intern interview questions

When I went through the interview process for the Snowflake ML intern role, it started with a resume screening, followed by a brief call with the recruiter to discuss my background and interest in Snowflake. Next, I completed a coding and SQL assessment, which tested my proficiency with data manipulation and problem-solving. After that, I was invited to a series of technical interviews where they dove into my understanding of machine learning fundamentals and data science concepts. They also wanted to see how I approached real-world ML challenges, especially how I’d leverage Snowflake’s tools. Overall, it felt thorough yet focused on practical skills.

After applying, they send you an online coding challenge. The duration varies among applicants. Only if you pass all the exercises, they invite you for an interview. Make sure to prepare with LeetCode/Hackerrank and Kaggle