Job Details

Senior Machine Learning Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Jul 22, 2025

Weekly Hours: 40

Role Number: 200613051

Join a passionate, dynamic team responsible for creating experiences that enable users to get help with—and discover all the things they love about—their Apple products. In this role, you will have the opportunity to join a team building applications, frameworks, and system-level experiences for hundreds of millions of users across the Apple ecosystem.

The Instructional Products team is looking for a Senior Machine Learning Engineer to join a team building both internal and customer-facing features, applications, and tools. In this role, you’ll be at the forefront of shaping personalized help and discovery experiences powered by state-of-the-art machine learning, generative AI, and agentic systems and modeling.

Description

As a Senior Machine Learning Engineer, you will guide the end-to-end delivery of multiple ML and generative AI initiatives. Your work will span defining technical strategy, shaping data pipelines, building and deploying models, and iterating post-launch. You will partner closely with product, design, engineering, and content teams to create features that are contextually aware and deeply aligned with Apple’s user experience principles.

You’ll contribute to the development of LLM-powered systems, including prompt engineering, fine-tuning on domain-specific data, and Retrieval-Augmented Generation (RAG) architectures. Experience with agent-based systems—such as multi-step reasoning, tool use, and task planning—is highly valued. Your success in this role will depend on a strong understanding of how users interact with Apple’s products, and on your ability to translate ML innovations into intuitive, intelligent experiences that scale.

Minimum Qualifications

• At least 3 years of professional software or ML experience delivering customer-facing features.

• Deep knowledge of modern ML concepts and techniques and hands-on expertise with at least one major framework (PyTorch, TensorFlow, or JAX).

• Demonstrated expertise in training and debugging machine learning systems, including data processing, model evaluation, and systematic error analysis.

• Strong software engineering skills in Python.

• Experience shipping models to productions, including model compression, quantization, and real-time inference.

• Excellent written and verbal communication; able to explain complex ML concepts to colleagues who do not have an ML background.

Preferred Qualifications

• MS/PhD in Machine Learning or equivalent industry experience.

• Experience in designing or deploying agent-based systems for reasoning, task decomposition, or tool orchestration.

• Passion for crafting intuitive user experiences and a track record of turning data insights into product features.

• Comfortable thriving in a fast-moving environment with shifting priorities and multiple concurrent projects.

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 $147,400 and $272,100, 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.