ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Software Engineer Intern (AI/ML) - 2026 at Snowflake - ApplyBlast

Software Engineer Intern (AI/ML) - 2026

Snowflake

10 months ago

3.8 on Glassdoor

Warsaw, Poland

Onsite

Full Time

Intern

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

The Software Engineer Intern (AI/ML) at Snowflake will contribute to the development of AI-powered products within the R&D team, specifically Snowflake Intelligence, which aids users in deriving insights from large-scale data. Responsibilities include designing and implementing AI systems, collaborating with researchers to deploy ML methods, and developing scalable ML pipelines while adhering to best coding practices. Candidates should possess strong programming skills in languages like Python, Go, or Java, alongside familiarity with ML frameworks and distributed systems.

Skills

Qualifications

Must be actively enrolled in an accredited college/university program during the time of the internship

About Snowflake

www.snowflake.com

Headquarters

St. Cloud, Minnesota, United States

Company Size

5001-10000 employees

Founded

2012

View Profile

Snowflake, Inc. is a cloud-based data warehousing company that provides a highly scalable and reliable platform for data storage, processing, and analytics. Known as the Snowflake Data Cloud, it empowers organizations to seamlessly manage and analyze their data, leveraging AI and advanced analytics tools without the complexity of traditional data management solutions. Snowflake's architecture eliminates data silos, enabling real-time collaboration and driving innovation across various industries. Its user-friendly interface and robust security features make it a preferred choice for businesses looking to harness the power of their data effectively.