Job Details

Machine Learning Engineer, Siri Quality

Cupertino, California, United States

Software and Services

Summary

Posted: Jul 31, 2025

Weekly Hours: 40

Role Number: 200614653

Play a part in the next revolution in human-computer interaction and redefine mobile computing through voice interaction!

Apple's Siri Quality team is looking for a passionate and skilled Machine Learning Engineer to join our mission of delivering the highest quality AI experiences to millions of users worldwide. In this role, you will be instrumental in ensuring the highest quality of Siri by developing and deploying innovative machine learning solutions for automated testing, anomaly detection, and performance analysis. You will work on a diverse set of problems, from predicting potential regressions to creating intelligent systems that can identify subtle quality issues before they impact users.

Description

As a Machine Learning Engineer on the Siri Quality team, you will apply your expertise in machine learning, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri’s most advanced features. You will collaborate with top engineering, design, and product teams to define quality standards, build automated evaluation pipelines, and deliver insights that guide Siri’s development across iPhone, Mac, iPad, Watch, HomePod, Vision Pro, and more.

If you are a self-motivated individual with a strong analytical mind, a keen eye for detail, and a desire to make a significant impact on a product used by millions, we encourage you to apply!

Minimum Qualifications

• 10+ years of industry experience in the relevant space.

• 3+ years of experience in machine learning, including hands-on work with LLMs.

• Strong programming skills in Python and experience with ML/NLP libraries

• Experience building or fine-tuning LLMs for software engineering tasks

• Understanding of prompt engineering, and retrieval-augmented generation (RAG)

• Experience developing LLM based automated evaluation frameworks

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

• Experience in Swift/XCTest/XCUITest is preferred

• Excellent problem-solving, analytical, and debugging skills

• Experience working with large-scale datasets, infrastructure, and/or data formats (e.g., JSONL, protobuf)

• Experience with large-scale data processing (e.g., Spark, Hadoop) is a plus

• Comfortable working in a fast-paced, collaborative environment with shifting priorities

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 $181,100 and $318,400, 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.