Job Details

Machine Learning Engineer

Cupertino, California, United States

Operations and Supply Chain

Summary

Posted: May 24, 2025

Weekly Hours: 40

Role Number: 200606214

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain.

As a Machine Learning Engineer on our core AI/ML team, you will be at the forefront of designing and developing cutting-edge AI/ML models and GenAI applications. You will be working closely with business stakeholders, data engineers, and IT groups closely and take an active role in effectively communicating the recommendations to senior management. Your work will empower strategic and tactical decision-making processes within our supply chain, driving us towards greater efficiency and success.
If you thrive in a collaborative environment, are passionate about leveraging AI/ML to solve complex business problems, and are excited about the opportunity to make a significant impact in a dynamic tech industry, we want to hear from you!

Description

• Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AI/ML & GenAI applications (e.g., chatbots, text summarization, video processing)

• Foster close collaboration with engineers and infrastructure partners to implement scalable, robust AI/ML & GenAI applications

• Effectively communicate analytical insights to partners and senior leaders, providing clear, actionable recommendations

• Stay updated with the latest trends, technologies, and best practices in AI. Regularly research and present new ideas to improve the team's technical capabilities

Minimum Qualifications

• Bachelors degree in Computer Science, Statistics, Applied Math or a related field

• PhD/MS in Computer Science, Statistics, Applied Math or a related field

• 7+ years of industry experience

Preferred Qualifications

• Strong problem-solving skills and the ability to tackle novel challenges, combined with strong communication and interpersonal capabilities

• Proven experience with modern deep learning frameworks, e.g., PyTorch, TensorFlow

• Hands-on experience working with transformer-based architectures, e.g., GPT, BERT

• Hands-on experience with RAG, LLM fine-tuning

• Familiarity with GenAI frameworks and tools, e.g., LangChain

• Solid understanding of foundational ML concepts including supervised, unsupervised and reinforcement learning

• Experience with model deployment pipelines and serving GenAI models in production

• Experience working in Supply Chain, Operations, or a related field

• Ability to operate independently and lead without authority

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 $175,800 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

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.