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
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
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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.