Machine Learning Manager, Apple Intelligence

As a Manager of our ML team, you will lead all aspects of ML architecture, NLP technologies selection, model training, fine-tuning, ablation studies, and productization. This role requires strong technical expertise, leadership skills, and the ability to collaborate across teams. The ideal candidate has a proven track record in managing teams, delivering production grade ML models across cloud and on-device environment, and making informed decisions that balance performance, privacy, security, and power constraints. A passion for mentoring and fostering team growth is essential, as you ll guide engineers to excel in their careers. If you thrive in dynamic environments and excel at leading teams and projects, we want to hear from you. Additionally, you will be encouraged to contribute to the broader research community by publishing in top-tier AI/ML journals. Minimum of 5+ years of experience as an Engineering Manager for software features focused towards machine learning components including processing large, complex data sets. Solid grasp of foundational generative technologies, including LLMs and diffusion models, as well as a deep understanding of NLP algorithms in general. Strong analytical and problem-solving skills, with emphasis on software debugging of complex ML code basis. High fluency in Python and ability to navigate in C/C++/Objective-C/Swift code bases. Familiar with frameworks like TensorFlow or PyTorch Preferred Qualifications Masters degree in AI, Machine Learning, Computer Science, Mathematics, or a related field. Experience in structuring software development teams. Experience in building scalable and maintainable software operating on large datasets Excellent problem-solving and project management skills. Ability to interact with parties with varying levels of technical proficiency. Comprehensive understanding of the machine learning pipeline, encompassing data processing, training, and performance analysis. Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely Hands-on experience in NLP modeling for Indian languages is desired.