Why This Job is Featured on The SaaS Jobs
This internship stands out in the SaaS landscape because it sits at the intersection of applied AI and a large-scale data platform, where research outcomes are expected to translate into product capabilities. Work tied to AI-powered features inside an established cloud platform offers a clear view into how modern SaaS vendors operationalise machine learning for end users, not just as prototypes but as platform-level functionality.
For a long-term SaaS career, the role offers experience that travels well across product-led and platform-led companies: turning ambiguous questions into measurable experiments, reasoning about model performance in real usage contexts, and collaborating with engineering and product stakeholders to land changes safely. Exposure to scalable ML systems and platform integration is particularly relevant as more SaaS teams shift from isolated models to shared AI infrastructure and governance.
This role is best suited to candidates who enjoy open-ended problem framing and can balance independent research with collaborative delivery. It will appeal to those early in a research-oriented path who want their work evaluated not only on novelty, but also on whether it can be integrated into a production SaaS environment with real customer workflows in mind.
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
