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

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.

Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.