PhD, or equivalent practical experience, in Computer Science, or related technical field
Demonstrated expertise in machine learning research.
Ability to formulate a research problem, design, experiment, implement and communicate solutions.
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
Nice to Haves
Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX
Proven industry experience
Strong mathematical skills in differential calculus, probability, statistics.
Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase.
Ability to work as a team player in a diverse collaborative environment.
You have proposed through previous publications impactful methods in areas of interest to the group, such as generative modeling (flow matching, diffusion, etc.), LLM/VLM training/fine-tuning/inference, neural network theory, or scaling laws.
What You'll Be Doing
Define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues.
Provide technical mentorship and guidance, and prepare technical reports for publication and conference talks.
Have the opportunity to collaborate with broader teams across Apple.