PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)
Core
Develop and launch new user features using ML techniques in recommendation systems, computer vision, and generative AI for Pinterest's visual understanding modules.
Role type
PhD Machine Learning Intern (Visual, Multimodal, and Recommender Systems)
Builds
User-facing features and research applicable to Pinterest engineering teams
Domain
Internet / Computer Vision / Recommendation Systems / Generative AI
Deliverable
production ML models | product features | research
Required skills
Computer Vision, Visual Search, Recommendation Systems, Reinforcement Learning, Generative AI, LLMs, Python, C++, Java, TensorFlow, PyTorch, MLFlow, AI-native engineering, agent-friendly codebases
Preferred skills
Publications in ML/AI, passion for research, applied ML expertise
Technologies
TensorFlow, PyTorch, MLFlow, Java, C++, Python
Responsibilities
Develop and launch new user features using unique internal datasets and ML techniques; Gain hands-on experience with production ML systems including algorithmic research, infrastructure, and data engineering; Validate AI-generated outputs through testing and code review; Use AI tools to accelerate engineering implementation and understand unfamiliar code; Contribute in cutting-edge research in machine learning and artificial intelligence
Seniority
Intern, research & development
