Sr. Machine Learning Research Engineer, Siri Agent Modeling

Sr. Machine Learning Research Engineer, Siri Agent Modeling Cupertino, California, United States - Machine Learning and AI Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting‑edge AI and human‑centered design, shipping technology that is centered around users and their needs. Description The frontier of AI isn’t in the cloud anymore. It’s in your pocket. The real challenge is building models that are not only powerful but also private, efficient, and intelligent enough to act as a true assistant on a user’s device. At Apple’s Siri team, it isn’t a research paper—it’s our daily work. We are building the next generation of agents and deploying them at the largest customer scale in the world. We’re looking for engineers who thrive on solving the puzzles that exist at the bleeding edge of hardware, software, and machine learning. This is a full‑stack ML role for those who want to own their work from concept to silicon. Training & Fine‑Tuning: Architect and train LLMs specifically for agentic behaviors. This is your opportunity to define what “reasoning” and “task completion” mean for a billion users. Performance & Optimization: Master the art of model surgery. Design and implement novel context and adapter strategies to make our models faster and smarter within the tight constraints of on‑device deployment. Data as a Product: Own the curation, augmentation, and evaluation pipelines that are the lifeblood of our systems. System Architecture: Shape the entire system, working with cross‑functional experts in software, research, and product to build a cohesive, intelligent experience. We value velocity and pragmatism. If you are a builder with elite software engineering skills and a proven passion for pushing the boundaries of applied ML, your work will have a home here. Ready to solve problems that will define the next decade of personal computing? Apply now. Minimum Qualifications Experience with shipping LLM based products Excellent agentic coding engineering skills and knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow) Machine learning research track record or excellent knowledge of state‑of‑the‑art ML Masters or PhD in Computer Science, Machine Learning Engineering, or equivalent professional experience Experience with agentic AI Preferred Qualifications Knowledge of natural language processing Experience with small language models Knowledge of on‑device or embedded systems architecture Compensation and Benefits Base pay ranges from $150,400 to $277,600, dependent on skills, qualifications, experience, and location. Apple offers discretionary employee stock unit awards and a discount employee stock purchase plan. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, tuition reimbursement for career‑related education, and potential discretionary bonuses or commission payments. The role might also be eligible for relocation assistance. Apple is an equal‑opportunity employer committed to inclusion and diversity. We protect applicants from discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected characteristics. Apple believes accessibility is a fundamental right. Learn about accessibility in Apple’s workplace and reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple