Master's Fall Machine Learning Internship; ATG - Visual Search

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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 to 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 projects with minimal guidance from your mentor, manager, and peers.

• This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
• Ability to legally work full time (40 hours/week) from September-December 2026.
• Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
• Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
• Proficiency with AI‑native engineering, including the design of agent‑friendly codebases.
• High degree of autonomy in learning new agent‑first development tools.
• Strong critical thinking when working with AI‑generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI‑assisted approaches based on the problem, context, and constraints.
• Experience in research and in solving analytical problems.
• Strong communicator and team player. Being able to find solutions for open‑ended problems.

• Publications in machine learning, AI, data science, data analytics, statistics, or related technical…