AIML - Machine Learning Researcher, MLR

You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible. You will define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.

Do you have a Doctoral degree?, 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 formulate a research problem, design, experiment, implement and communicate solutions. 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, diffusions, etc.) or LLM/VLM training/fine-tuning/inference., PhD, or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.