Snowflake

About Snowflake

The cloud data platform for seamless data sharing

🏢 Tech👥 1001+ employees📅 Founded 2012📍 Menlo Park, CA💰 $1.4b3.9
B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Key Highlights

  • Public company (NYSE: SNOW) - strong equity potential
  • Over 1,300 partners managing 250PB of data
  • 515 million data workloads processed daily
  • $1.4 billion raised to date

Snowflake (NYSE: SNOW) is a leading cloud data platform headquartered in Menlo Park, CA, designed for data sharing and application development. With over 1,300 partners, Snowflake manages more than 250PB of data and supports over 515 million data workloads daily. The company has raised $1.4 billion ...

🎁 Benefits

Snowflake offers comprehensive health insurance, robust retirement plans, generous PTO, and on-demand mental health programs. Employees also benefit f...

🌟 Culture

Snowflake fosters a culture focused on innovation and collaboration, breaking down data silos with a frictionless cloud platform. The company emphasiz...

Snowflake

Software Engineering Entry-Level

SnowflakeWarsaw - On-Site

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Skills & Technologies

Overview

Snowflake is hiring a Software Engineer Intern (AI/ML) to contribute to AI-powered products within their R&D team. You'll work with technologies like Python, Java, and ML frameworks such as PyTorch and TensorFlow. This internship is designed for students actively enrolled in a college or university program.

Job Description

Who you are

You are an actively enrolled student in an accredited college or university program, eager to dive into the world of AI and machine learning. You possess strong programming skills in at least one of the following languages: Python, Go, or Java — allowing you to contribute effectively to software development tasks. Your familiarity with machine learning frameworks such as PyTorch and TensorFlow, along with data processing systems, sets you apart as a candidate ready to tackle real-world challenges.

You thrive in collaborative environments and are excited about the opportunity to work alongside world-class experts in AI research. Your passion for innovation and technology drives you to seek impactful work that contributes to the advancement of AI-powered products. You understand the importance of mentorship and are open to receiving structured feedback to enhance your skills throughout the internship.

What you'll do

As a Software Engineer Intern at Snowflake, you will join an AI-focused R&D team where your contributions will directly impact the development of cutting-edge AI-powered products. You will engage in hands-on programming tasks, collaborating with experienced engineers to build and enhance features that help business users extract insights from large-scale data. Your role will involve integrating your work into the Snowflake platform, driving innovation in data applications.

You will participate in regular check-ins and receive mentorship from seasoned professionals, ensuring that you gain valuable insights and skills during your internship. The experience will not only enhance your technical abilities but also provide you with a comprehensive understanding of the AI landscape and its applications in the industry. Post-internship, you may have opportunities for full-time positions or additional internships, paving the way for your future career in technology.

What we offer

Snowflake offers a paid, full-time internship that immerses you in a dynamic AI-driven R&D team. You will have the chance to collaborate with experts on groundbreaking AI/ML research projects, gaining exposure to the latest advancements in the field. The internship is designed to foster your growth, providing direct mentorship and structured feedback to help you succeed. You will be integrated as a full-fledged teammate, contributing to meaningful projects that align with your interests and career goals. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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