Senior AI/ML Software Engineering Manager - Apple Music - Personalisation & Recommendations

London, England, United Kingdom Software and Services

Description

You are a trustworthy and capable manager who can lead great software engineers & managers, develop them appropriately, and guide them to work together to deliver amazing products for our customers.You will instill an inclusive team culture, and grow the team while maintaining world-class excellence and diversity.You will realise 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.Based in central London, you will also collaborate with and manage Apple teams in the US.Is this you? If so we'd love to hear from you.

Minimum Qualifications

• 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

Preferred Qualifications

• 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 personalisation experiences
• Ability to effectively communicate with multi-functional teams about product requirements, system architecture, APIs and project schedules.