Job Details

Machine Learning Engineer

New York City, New York, United States

Software and Services

Summary

Posted: May 22, 2025

Weekly Hours: 40

Role Number: 200603647

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 develop Machine Learning Platforms to support end-to-end ML Lifecycle. Collaborate with cross-functional teams to understand the organization's machine learning needs. Build software service to load Machine Learning models by developing workflow orchestration systems to streamline the end-to-end machine learning process. This requires integration with popular machine learning frameworks (e.g., TensorFlow, PyTorch) into the platform. In addition, provide support for various machine learning algorithms and ensure compatibility with diverse data types. Implement tools for model versioning, and collaboration among data scientists. Implement automation scripts for tasks such as model training, model deployment into CI/CD pipelines. Write unit tests and integration tests for the ML platform software to ensure the models behave as expected. Analyze software performance problems and implement optimizations. Implement monitoring systems to track the performance of machine learning models in real-time. Set up logging mechanisms for capturing relevant metrics and debugging information. 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 $190,700 - $286,600/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

• Master’s degree or foreign equivalent in Computer Science, Computer Engineering 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:

• Experience with designing and developing machine learning platforms.

• Design & develop platform for deploying ML and analytical workloads on Kubernetes and public cloud.

• Experience with Big data technologies like Spark, Kafka, Oozie, Hadoop.

• Writing unit tests and integration tests for machine learning platform software.

• Implementing optimizations for software performance.

• Setting up logging mechanisms for metrics and debugging.

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.