OpenNash Jobs
Apple

Senior Machine Learning Engineer, Developer Product Analytics

Cupertino, United States of AmericaSenior individual contributorSoftware Engineering

Listed on Apple’s official careers site. Posted July 14, 2026. Check that it is still open and apply there.

Apply on Apple’s careers site →

Job description

Apple Services Engineering powers the digital storefronts and partner platforms that millions rely on every day, from the App Store, Apple Music, and Podcasts to the analytics platforms that serve the developers and artists who create for them (App Store Analytics, Apple Music for Artists, Podcast Analytics). The Product Data Science team builds the statistical, ML, and AI-powered algorithms behind these platforms, focused on content-partner analytics tools, experimentation engines, privacy-preserving analytics, and charting systems used by millions of businesses and users worldwide.

We are looking for a scientist who has shipped end-to-end ML solutions in production, is driven to find the next high-impact problem, and wants to do it at Apple scale.

More jobs at Apple

AI Software Engineer, App Intelligence

Cupertino, United States of America

AI Software Service Manager, Binary Insights (SEAR)

Cupertino, United States of America

AIML - Sr OS Software Engineer, Evaluation

Cupertino, United States of America

AIML - Sr Software Engineer - AI, Evaluation

Cupertino, United States of America

Analog Mixed Signal Firmware Engineer

Cupertino, United States of America

Similar jobs at other companies

Senior Machine Learning Engineer

Microsoft · United States, Massachusetts, Cambridge

Senior Machine Learning Engineer

CVS Health · New York, NY

A/AI Machine Learning Engineer

Lockheed Martin · Manassas, VA

Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW )

Qualcomm · San Diego, California, United States of America

Lead Machine Learning Engineer

JPMorganChase · New York, NY, United States

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.