Machine Learning Intern

Job Description

PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems) | Pinterest

The Tone:
This is a internship at Pinterest, located remotely or in San Francisco, Palo Alto, Seattle, or New York. Pinterest is a platform where millions of people find creative ideas, dream of possibilities, and plan for memories. As an intern, you will contribute to this mission by developing cutting-edge machine learning technologies. The role involves being part of a team where AI augments creativity and amplifies impact, and you will engage in the full spectrum of ML product development, deploying features that affect hundreds of millions of users.

The TL;DR
• Role: Internship
• Type: Full-time, Temporary (12 weeks)
• Location: Remote, Hybrid, San Francisco, Palo Alto, Seattle, New York
• Pay: $12100 monthly
• Team: Advance Technology Group (ATG), specifically on Visual Search or Applied Science teams
• Mission: To develop and deploy cutting-edge machine learning technologies for visual understanding modules and recommender systems that impact hundreds of millions of users.
• Tech Stack: Tensorflow, Pytorch, MLFlow, Java, C++, Python

What You’ll Actually Do
• Develop: Develop and launch new user features using unique internal datasets and ML techniques, particularly in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
• Implement: Implement innovative solutions by gaining hands-on experience with production ML systems, encompassing algorithmic research, infrastructure, data engineering, training, inference, and product.
• Accelerate: Accelerate engineering implementation, including prototyping and experimentation, by leveraging frontier AI tools and agents.
• Validate: Validate AI-generated outputs through testing, code review, and critical thinking to ensure solutions are accurate, maintainable, secure, and meet team standards.
• Contribute: Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest’s platform problems.

The Must-Haves
• Background: Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
• Experience: Experience in research and in solving analytical problems, with the ability to legally work full-time (40 hours/week) from September to December 2026.
• Skills: Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow); proficiency with AI-native engineering; strong critical thinking when working with AI-generated suggestions; comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches.
• Bonus: Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields; strong passion for research and for answering hard questions with research; passion for applied ML and the Pinterest product.