Job Details

SWE - Sr. Machine Learning Engineer, Siri Knowledge Experience

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Jun 08, 2025

Weekly Hours: 40

Role Number: 200607638

Are you excited about Generative AI and Large Language Models and eager to apply your expertise in a fast-paced, innovative environment? Join a newly created team in AIML focused on building world-class experiences to bring Apple's deep expertise in world knowledge to life. Our team's mission is to foster curiosity and exploration, facilitate learning, and enhance decision-making through innovative products that leverage machine learning at their core.

We are seeking a highly motivated, exceptional senior applied research engineer with experience in bringing the latest research to life in stunning, visually immersive products. You'll advance and apply the latest ML techniques to craft a meaningful experience for millions of users worldwide through both rapid prototyping and experimentation — then bring the best of those experiences to users around the world.

Description

We are seeking a candidate with a strong background in applied ML research and development, as well as a passion for building products, to join our team. We are looking for applied ML researchers who can develop end-to-end solutions, from data scaling to model implementation and training, while collaborating with multidisciplinary engineering teams to bring research to production. To succeed in this role, you should have proven leadership ability in navigating ambiguity, be an excellent communicator, and be a creative problem solver who enjoys learning, experimenting with new ideas, and improving processes, and will learn whatever you need to get the job done. You should also thrive as a team player in a fast-paced environment.

Minimum Qualifications

• BSc in Computer Science, Machine Learning, or related field

• 10+ years proven experience leading ML/AI initiatives and teams in a fast-paced environment

• Technical expertise in machine learning, particularly in generative AI, traditional ML, and knowledge graphs

• Experience managing rapid prototyping and proof-of-concept development in ML/AI (particularly GenAI)

• Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow)

• Experience leading cross-functional technical teams

Preferred Qualifications

• Master's degree or Ph.D. in Computer Science, Machine Learning, or related field

• Strong understanding of ML operations, including model development, evaluation, and deployment

• Outstanding project and program management capabilities

• Track record of building strong partnerships with business collaborators

• Exceptional communication skills with ability to translate complex ML concepts for various audiences

• Results-driven with excellent analytical and problem-solving abilities

• Experience with large-scale ML deployments in customer service environments

• Deep understanding of responsible AI practices and model governance frameworks

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 $207,800 and $378,700, 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.