Why This Job is Featured on The SaaS Jobs
This Research Intern (AI) role stands out in the SaaS ecosystem because it sits close to the product surface of a major data platform, where AI features are increasingly becoming core workflow primitives rather than add-ons. Snowflake’s focus on AI-powered capabilities within its platform signals work that connects research outcomes to real usage patterns across data and application teams, a common direction for enterprise SaaS as buyers expect intelligence embedded in everyday analytics.
For a SaaS career, the notable value is learning how advanced AI work is translated into platform-grade functionality. That typically means developing an instinct for scalability, reliability, and evaluation beyond offline metrics, alongside the practical constraints of shipping within a large multi-tenant environment. Experience gained here can transfer to other SaaS companies building AI assistants, semantic layers, or data-native applications where model behavior must align with product expectations.
This listing is best suited to candidates who enjoy open-ended investigation but also care about integration and impact within a broader engineering and product context. It fits early-career researchers who want their work to land in production-facing systems and who are comfortable collaborating across disciplines while maintaining strong independent execution.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
We’re at the forefront of the AI revolution, building the world’s leading data and applications platform. At Snowflake, our "get it done" culture empowers everyone to innovate, create impactful work, and thrive in a highly collaborative environment.
We are looking for a talented and motivated Research Scientist Intern to join our AI-focused R&D team. In this role, you will contribute to cutting-edge AI-powered products, such as Snowflake Intelligence, which helps business users extract insights from large-scale data. Your work will be directly integrated into the Snowflake platform, driving AI innovation in data applications.
WHAT WE OFFER:
Paid, full-time internship within a dynamic AI-driven R&D team
Collaboration with world-class experts on groundbreaking AI/ML research projects
Direct mentorship and structured feedback, including regular check-ins and a final evaluation
Integration as a full-fledged member of the Snowflake AI R&D Team
Post-internship career opportunities (full-time and/or additional internships)
WHAT WE EXPECT:
Actively enrolled in PhD or MSc in Computer Science, Mathematics, or a related field
Preferred strong research background demonstrated by publications at top-tier ML conferences, such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, and ICCV
Strong programming skills (Python)
Strong foundation in ML theory, deep learning architectures, and statistical modeling
Exposure to the ML frameworks (PyTorch, JAX, TensorFlow)
Ability to formulate and explore open-ended research questions
Ability to work independently while effectively collaborating within a team
Strong communication skills to present insights and recommendations to both technical and non-technical audiences
Duration: Minimum 4 months (recommended 6 months, up to 12 months supported)
WHAT YOU WILL LEARN/GAIN:
Conducting research on foundational and applied AI topics
Experimenting with scalable ML systems and integrating new methods into Snowflake’s AI stack.
Keeping up with academic and open-source AI research.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
