Requirements

Experienced in managing software engineering teams running core AI/ML services and/or ML systems at scale
Previous experience with hands-on work and shipping products in an AI and/or ML domain, like recommender systems, NLP, information retrieval, relevance, ranking, or large language models
Strong track record previously as an individual contributor having engineered and shipped services & features at scale
BS/MS in Computer Science, Computer Engineering, or Machine Learning; or significant practical experience in software engineering

Nice to Haves

A proven track record of leading, motivating and building strong software teams – enabling engineers to do the best work of their lifetime
Proven experience as a leader having set technical direction and strategy in the form of technical roadmaps and executing on it
A vision of how to build modern recommendation systems and how to engineer modern ML-driven pipelines, APIs and services at scale
Attention to detail and a strong passion for quality – experience architecting, designing and developing high-quality personalization experiences
Ability to effectively communicate with multi-functional teams about product requirements, system architecture, APIs and project schedules

Lead great software engineers & managers, develop them appropriately, and guide them to work together to deliver amazing products for our customers
Instill an inclusive team culture, and grow the team while maintaining world-class excellence and diversity
Realize your vision of modern, machine-learning and AI focused system architectures that enable fast model iteration, and the use of state-of-the-art music analysis and recommendation models
Collaborate with and manage Apple teams in the US

Located in central London
Opportunity to work on cutting-edge music recommendations, personalization, and artificial intelligence
Chance to work with great people across Research, Engineering, and Product