AI ML Engineer
dv01Full Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, it is a paid, full-time internship.
The internship has a minimum duration of 4 months, with 6 months recommended and up to 12 months supported.
Requirements include strong programming skills in at least one of Python, Go, or Java; familiarity with ML frameworks like PyTorch or TensorFlow and data processing systems like Spark or Snowpark; understanding of distributed systems, model serving, or inference infrastructure; and proven ability to write clean, efficient, scalable code.
Snowflake has a 'get it done' culture that emphasizes impact, innovation, collaboration, and empowering everyone to innovate and thrive in a highly collaborative environment.
Strong candidates must be actively enrolled in an accredited college/university program, demonstrate strong programming skills, familiarity with ML frameworks and distributed systems, ability to write scalable code, work independently and collaboratively, and have strong communication skills.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.