ML Engineer, Siri AI Quality Engineering

Play a part in the next revolution in human-computer interaction and redefine mobile computing through voice interaction! Apple's Siri AI Quality Engineering team is looking for a hard-working and skilled Machine Learning Engineer to join our mission of delivering premier 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 ML solutions for automated testing, anomaly detection, and performance analysis. You will work on a diverse set of problems, from predicting potential regressions to crafting intelligent systems that can identify subtle quality issues before they impact users.

Description

In this role, you will apply your expertise in ML, data analysis, and software engineering to drive the strategy and execution of large-scale evaluation efforts for Siri's most sophisticated 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

• 5+ years of proven experience in the relevant space
• 3+ years demonstrated ability 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 $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.

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 .

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Client-provided location(s): Cupertino, CA

Job ID: apple-200616805-0836

Employment Type: OTHER

Posted: 2025-08-21T19:14:45