Senior AI/ML Engineer, Media Understanding

Role Overview

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish.

Our team builds the systems that help Apple understand media: what a song, episode, show or game is about, how pieces of content relate to each other, and how that understanding can power great experiences across Apple Music, Podcasts, TV and Sports. It's rigorous AI/ML work in a domain that's all about culture, storytelling and taste.

Much of the team is based in Barcelona, as part of a wider engineering group headquartered in Cupertino. We're looking for an experienced engineer in Cupertino to be the team's technical presence there: working day to day with partner teams in their timezone, joining the conversations where direction gets set, and bringing what you learn back into the team's work.

Responsibilities

You'll work closely with engineering, product and design partners across Apple Services, from early design discussions through to delivery. Some days you'll be deep in a partner team's systems working out how our capabilities fit; other days you'll be helping shape a cross-team plan or representing the team's work to leadership. You'll stay technically close to the team's own systems, because the role works best when you know them well.

It suits someone who enjoys connecting teams and shaping direction as much as building, and who likes working across sites and timezones.

Requirements & Qualifications

Minimum Qualifications

BS in Computer Science or a related field, or equivalent practical experience. MS or PhD in Computer Science, ML or a related field preferred.

At least 8 years experience building and shipping production ML or large-scale software systems.

Experience working across teams and influencing technical decisions beyond your own team.

Clear written and confident verbal communication with both engineers and leaders.

Preferred Qualifications

Experience with multimodal understanding, generative AI, knowledge graphs or semantic search. Experience with media content or catalogs. Familiarity with Apple Services teams and systems. Experience working with distributed teams across timezones.

Compensation & 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 $216,200 and $394,000, 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.

Application Instructions

Apply directly on Apple Jobs at Senior AI/ML Engineer, Media Understanding↗.

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