layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Senior Machine Learning Engineer, Developer Product Analytics
Apple
Cupertino, California
Source: Apple careers · View original posting
- Pay
- $184,700 — $277,600 USD per year
Employer job description
From Apple's posting. “We” and “our” refer to the employer.
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.
Description
Product Data Science sits within Apple Services Engineering, the org that runs Apple's content platforms end-to-end. The team builds the intelligence layer behind partner-facing analytics applications and Apple's global content charts. Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks feature, giving developers privacy-safe performance insights they could not get anywhere else.