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

Tech Stack

Responsibilities

• Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
• Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product.
• 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.
• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.

Benefits

• Health Insurance
• Learning Budget
• Remote Work

Culture

Requirements