Machine Learning Intern

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

DR

• Role:
  Internship
• Type:
  Full-time, Temporary (12 weeks)
• Location:
  
  Remote, Hybrid, San Francisco, Palo Alto, Seattle, New York
• Pay: $12,100 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:
  Tensor Flow, PyTorch, MLFlow, Java, C++, Python

• 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 innovative solutions by gaining hands‑on experience with production ML systems, encompassing algorithmic research, infrastructure, data engineering, training, inference, and product.
• Accelerate engineering implementation, including prototyping and experimentation, by leveraging frontier AI tools and agents.
• Validate AI‑generated outputs through testing, code review, and critical thinking to ensure solutions are accurate, maintainable, secure, and meet team standards.
• Contribute to cutting‑edge research in machine learning and artificial intelligence that can be applied to Pinterest’s platform problems.

• 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 (Tensor Flow, 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.