Job Details

Machine Learning Engineer

New York City, New York, United States

Software and Services

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200606065

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 New York, New York. Design and build a new generation of Machine Learning platform and core infrastructure for the Ads Platform organization. Apply leading-edge technologies to engineer machine learning infrastructure that will be used for developing machine learned models that help connect Apple users and advertisers while delivering on Apple's privacy commitments. Perform essential work in the full cycle of algorithm innovation from experimentation to deploying predictive applications. Design and build complex large-scale and distributed software systems in cloud computing environments like AWS Exposure to machine learning platform, methodology, lifecycle and A/B testing Fluency in programming languages like Java, Scala, Python and SQL. Utilize data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc. Collaborate with Data Scientists to define the appropriate metrics to use for A/B experiments. Implement guard rails to detect anomalies in experiment results. Define and utilize the right allocation mechanism while assigning users to experiments. 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 $143,100 - $214,500/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: 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.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Data Science, Statistics or related field and 2 years of experience in the job offered or related occupation.

• 2 years of experience with each of the following skills is required:

• Building and deploying Machine Learning models to production using data processing tools including Spark.

• Working on A/B Testing infrastructure and/or methodologies using experience with multi-variate experimentation, and metrics generation/measurement.

• Proficiency in computer languages, including Java, Scala, and Python, to support Machine Learning components.

• Using database languages (SQL and NoSQL) to build applications.

• Designing large-scale, distributed system components using various design methodologies (i.e., Serverless, Client-Server, DDD, etc.).

• Using alerting and observability tools, including DataDog or Splunk, to monitor systems in production.

• Optimizing system performance using data structures and algorithms.

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 (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.