Senior Machine Learning Engineer - Music Recommendation Engine

Requirements

• Hands-on experience engineering and maintaining large distributed backend systems
• Hands-on experience with applied machine learning systems at production scale
• Understanding of concurrency, algorithms and object oriented programming
• Effective collaboration with researchers to improve machine learning models

Nice to Haves

• A vision of how to engineer modern ML-driven pipelines, APIs and services at scale, with fast iteration cycles
• Ability to own and lead projects from conception through to design and implementation
• Experience with recommender systems, feature engineering
• Experience designing and running customer-facing A/B tests

What You'll Be Doing

• 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 personalisation with low latency
• Tuning performance considering both latency and throughput
• Deploying our systems globally for improved resiliency and end-user experience
• Collaborating across teams to take new user-facing features from conception to production
• Working within our team to develop and deploy massive datasets to improve personalised features
• Prototyping algorithm changes and launching A/B tests to measure changes to personalised products

Perks and Benefits

• Work in a passionate team dedicated to connecting artists to music lovers around the world
• Collaborate with colleagues from more than 10 countries
• Opportunities for growth within a small, nimble, and cross-functional team
• Contribute to a vision that integrates hardware, software, and services at Apple