Job Details

Machine Learning, Applied Data Science Program

Cambridge, Massachusetts, United States

Machine Learning and AI

Summary

Posted: Aug 11, 2025

Role Number: 200615183-1242

At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. Bring passion and dedication to your career, and there's no telling what you could accomplish! The people here at Apple don’t just build 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.

Join the Applied Data Science Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.

Description

The ADSP is a rotational program which provides entry-level talent with practical work experience through project-based rotations on various teams across the company. Upon completion, ADSPs move into non-rotating technical roles within Apple. Responsibilities may include:

• Translate ambiguous business problems into technical solutions by working collaboratively with business partners to design, develop, deploy, and maintain data science-driven solutions that drive key business decisions

• Create tools to support self-service analytics, geospatial analytics, automated disaster recovery, self-healing data engineering pipelines, real time reporting, and decision support systems

• Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple’s ecosystem

• Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.

Minimum Qualifications

• Bachelors or Masters in Data Science, Computer Science, or related Engineering field

• Proficient in at least one programming language (Python/Scala/Java preferred)

• Practical experience (gained through work/classroom/personal projects) with querying language such as SQL and extracting insights from complex data sets

• Theoretical understanding of data modeling concepts, data structures, and machine learning algorithms

Preferred Qualifications

• Experience implementing machine learning solutions to answer real-world questions a plus

• Experience with big data processing technology (MapReduce/Spark/S3/Data Lake) a plus

• Effective communication to translate complex, ambiguous concepts into concise, business-focused solutions

• Standout colleague, meticulous, and a self-starter

• Thrives in a fast-paced environment

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 $114,100 and $171,800, 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.