Apple Music - Machine Learning Engineer (Personalized Stations and Mixes) at Apple Cupertino, CA

Apple Music - Machine Learning Engineer (Personalized Stations and Mixes) Location: Cupertino, California, United States. Department: Software and Services. Posted: Mar 04, 2025 Weekly Hours: 40 Role Number: 200571115 Here at Apple new ideas have a way of becoming great products very quickly, and innovation never stops. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music ML team at Apple Services Engineering is responsible for personalization and recommendations in AppleMusic. We are looking for an experienced Software Engineer to help design and run our customer‑facing recommender services reliably, efficiently, and with dedication to delivering to our users the music they will love to listen to. What you will be working on: Building products and services for millions of users with a focus on great customer experience and privacy Developing complex systems that integrate data from many sources to deliver on‑the‑fly personalization at low latencies Improving the quality of our personalized music streaming experiences Working with ML researchers to take new user‑facing features from conception to production Working within our team to develop and deploy massive datasets to improve personalized features Prototyping algorithm changes and launching A/B tests to measure changes to personalized products Minimum Qualifications: BS or MS degree in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics Proven track record of collaborating with ML researchers to develop and improve highly scaled, ML‑backed products Demonstrated understanding of the full lifecycle of online ML‑based solutions and related best practices Strong programming skills in at least one modern object‑oriented language such as Java, Python, C++ Ability to excel in a multi‑functional environment through clear communication and relationship building Preferred Qualifications: Experience with recommender systems or personalization and an understanding of the related algorithms and models Experience building and maintaining online ML systems with real‑time feedback (e.g. online bandit models) Experience with building and maintaining ML and big data pipelines Experience with Kubernetes and modern deployment patterns Pay & Benefits: Base pay range: $175,800 – $312,200 (depends on skills, qualifications, experience, and location). Apple offers discretionary employee stock unit awards and a discount Employee Stock Purchase Plan. You will also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and educational expense reimbursement for tuition related to career advancement. This role may also be eligible for discretionary bonuses, commission payments, and relocation compensation. 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. 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. Apple is committed to providing reasonable accommodation to applicants with physical and mental disabilities. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. #J-18808-Ljbffr Itlearn360