Mixed-Signal IP Machine Learning Engineer Cupertino, California, United States | Hardware Description As a member of the mixed-signal design team, you will be part of a dynamic team building the most efficient silicons on the planet, powering the next generation of Apple products. Your responsibilities will include: Developing machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs. Exploring and evaluating various machine learning algorithms to identify the most suitable approaches for specific problems. Collaborating closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment. Staying up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies. Minimum Qualifications Bachelor's degree in Machine Learning, Computer Science, or Electrical Engineering with a focus on machine learning and 3+ years of relevant experience. Preferred Qualifications Proven track record of successfully delivering machine learning projects or applications. Strong understanding of a wide range of machine learning algorithms, including logistic regression, deep neural networks, and reinforcement learning. Solid math background with knowledge of algorithms and data structures. Understanding of VLSI fundamentals is a plus. Knowledge of signal processing is a plus. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. At Apple, base pay is part of our total compensation package and depends on skills, qualifications, experience, and location. The salary range for this role is between $181,100 and $272,100. Employees may also participate in stock programs, receive benefits such as medical and dental coverage, retirement plans, discounts, educational reimbursement, and potential bonuses or relocation support. Note: Apple’s benefits, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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