As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.

Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.

Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.

Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.

Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.

Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

Write clean, efficient, and sustainable code

Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers