Machine Learning Engineer

Apple San Diego, California
machine learning learning engineer apple learning manufacturing machine learning operations team algorithms engineering supply supply chain
March 29, 2023
San Diego, California


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

The people here at Apple don t just create products they create the kind of wonder that s revolutionized entire industries. It s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations for the iPhone brand at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial iPhone supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.

Key Qualifications

Strong programming skills in Python

3-5 years of hands-on experiences on utilizing ML to solve real world problems, with a deep understanding of ML algorithms and deep learning. Experience with sequential modeling or transformer neural networks is a major plus.

Strong communicator and experience with communicating complex ML outcomes to non-technical engineers.

Experience managing and driving projects with cross-functional teams.

Proactive and passionate about solving real-world problems.

Experience working with large scale and real world datasets.

Experience with machine learning and data-related tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch, SQL.

Engineering background and manufacturing experiences preferred.

Experience with ML in manufacturing and operations spaces. In particular, working with massive and messy manufacturing data set, as well as deploying production ready model to the factory.

Experience with manufacturing and supply chain ML use cases such as testing optimization, cost reduction, and quality improvement.

Experience with computer vision and deep learning in manufacturing.


Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with cross functional teams. As a member of our team, you will work on applied machine learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple s supply chain and manufacturing processes. You will work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company.

Education & Experience

Masters or Ph.D. in Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related fields with experience applying machine learning & statistical techniques to real business problems.

Additional Requirements

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

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 $115,000 and $177,000, 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.

Role Number: 200455829

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