Job Description

Machine Learning Engineer **Cupertino, California, United States** **Machine Learning and AI** **Summary** Posted: **Jun 05, 2025** Role Number: **200605611** Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do. **Description** APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and develop machine learning models using state-of-the-art techniques such as deep learning, reinforcement learning, and Bayesian inference. Analyze and pre-process large-scale datasets to extract relevant features and eliminate noise and outliers. Implement and fine-tune machine learning algorithms using programming languages such as Python, R, and TensorFlow. Evaluate the performance of machine learning models using various metrics such as accuracy, precision, recall, and F1-score, and optimize them based on feedback from stakeholders and end-users. Visualize and communicate the results of machine learning models using data visualization tools such as Matplotlib, Tableau, and D3.js. Collaborate with cross-functional teams, including software engineers, data scientists, domain experts, and product managers, to integrate machine learning models into real-world systems and applications. Participate in research and development projects to explore new approaches and techniques for machine learning and stay up to date with the latest advancements in the field. Document and maintain the code, data, and models used in machine learning projects and ensure they are easily accessible and reproducible by other team members and stakeholders. 40 hours/week. 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 $175,800 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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. **Minimum Qualifications** + Master's degree of foreign equivalent in Computer Science, Computer Engineering, or related field. + Education and/or experience must include each of the following skills: + Using Python and/or C++ in a machine learning research capacity + Developing machine learning (ML) and deep learning (DL) algorithms in the context of robotics applications + Researching machine learning optimization methods, common types of models and layers, etc. + Writing scalable dataset generation, training infrastructure, and evaluation frameworks for ML models + Creating visualizations to analyze dataset generation algorithms and introspect ML models + Optimizing and deploying ML models to be performant for production use cases **Preferred Qualifications** + N/A 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 ( . 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 ( . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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