Why This Job is Featured on The SaaS Jobs
Snowflake sits in the mature, platform-scale end of SaaS, where “product” and “infrastructure” converge around data, analytics, and increasingly AI-native workflows. A research internship focused on AI in this setting is notable because it places applied research close to a production SaaS surface area, where models must translate into features that serve broad enterprise use cases rather than isolated prototypes.
For a SaaS career, the durable value is learning how research connects to a commercial platform: defining open-ended questions, running experiments with modern ML stacks, and communicating outcomes to mixed technical and non-technical stakeholders. That combination mirrors how many SaaS companies are operationalising AI, with R&D needing to fit into roadmaps, reliability expectations, and integration constraints. Experience with scalable ML systems and platform integration tends to transfer well across data, developer tools, and AI product teams.
This role suits early-career researchers who want their work evaluated not only on novelty but on how it can be integrated into a shipped product. It will appeal to candidates comfortable balancing independent exploration with collaboration, and to those interested in the intersection of academic-style rigor and the practicalities of building AI capabilities inside a widely used SaaS platform.
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
