Snowflake에서 AI R&D 연구 인턴을 모집합니다. 컴퓨터 과학/수학 석박사 재학생을 대상으로 하며, Python 활용 능력과 머신러닝/딥러닝에 대한 깊은 이해가 필수입니다. 세계적인 전문가들과 함께 최첨단 AI 모델을 연구하고 플랫폼에 통합하는 혁신적인 경험을 쌓을 수 있습니다.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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.
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)
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)
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
