Job Details

AIML - Sr. Machine Learning Engineer, Answers, Knowledge & Information (AKI)

Santa Clara, California, United States

Machine Learning and AI

Summary

Posted: Jul 24, 2025

Role Number: 200613991

A key part of the Apple mission is to empower our users to access world knowledge and answer their questions intelligently. A universal search engine constitutes the backbone of this effort, powering consistent experiences across product surfaces such as Siri, Safari, Spotlight, App Store, Apple Music etc. The Query Resolution team plays a central role in this endeavor, residing at the intersection of ML, search and speech technologies. The services we own and build are pivotal towards auto-completing user queries, providing query suggestions and correcting spelling / speech recognition errors, especially for Siri!

As part of our team, you will use innovative techniques (including but not restricted to LLMs) to resolve exciting problems across query correction and recommendation. We are looking for Machine Learning engineer with deep expertise across one or more areas spanning search, ranking, ML modeling and ML inference. You will join a dynamic team that blends together strong technical skills, proactive collaboration, insightful product vision, and deliver an extraordinary search platform!

Description

Upon joining our team, you’ll have the exceptional opportunity to use innovative techniques to create significant impact for hundreds of millions of users. We are looking for strong teammates with rich experience across machine learning and search engineering.

This role will entail the following responsibilities:
- Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems
- Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production
- Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact
- Smooth multi-functional collaboration across a variety of audiences; mentorship for team members

Minimum Qualifications

• Bachelors degree in Computer Science or a related field.

• 4+ years of experience in search, ranking, recommendation systems, natural language processing, deep learning, embedding techniques or LLMs.

• You are comfortable with both ML fundamentals and driving the ML lifecycle from inception to launch.

• You are proficient in at least one of following languages: Python, Go, C+ Preferred Qualifications

• MS or PhD in Computer Science or a related field

• Experience with large-scale distributed search / machine learning systems is a plus

• You possess excellent collaborative skills — the ability to work smoothly within a team while yet being able to deliver impact individually

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.