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.