Job Description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Product Engineering International, part of the esteemed Software Engineering Organization, is looking for a highly motivated and experienced manager to lead a team focused on developing cutting-edge generative models for a diverse range of international languages for Apple Intelligence. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will: - Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages. - Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment. - Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.

Description

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 Qualifications

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

Master's 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.





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