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Apple
Cupertino, California, United States
(on-site)
Posted
4 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
Engineering
Mixed-Signal IP Machine Learning Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Mixed-Signal IP Machine Learning Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products. Your responsibilities will include: • Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs. • Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems. • Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment. • Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
Minimum Qualifications
- Bachelors in Machine Learning, or Computer Science/Electrical Engineering with a focus on machine learning with 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.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to 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 .
Job ID: 80990920

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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