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- Tasks: Lead and inspire a team of software engineers to create cutting-edge AI/ML products.
- Company: Join Apple Music, a leader in music streaming and innovation.
- Benefits: Enjoy a vibrant work culture, competitive salary, and opportunities for growth.
- Why this job: Be part of a diverse team shaping the future of music recommendations with AI.
- Qualifications: Experience in managing AI/ML teams and a strong background in software engineering required.
- Other info: Position based in central London with collaboration opportunities across global teams.
The predicted salary is between 72000 - 108000 £ per year.
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.
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Senior AI/ML Software Engineering Manager - Apple Music - Personalisation & Recommendations employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Software Engineering Manager - Apple Music - Personalisation & Recommendations
✨Tip Number 1
Network with professionals in the AI/ML field, especially those who have experience in personalisation and recommendation systems. Attend industry meetups or conferences to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your leadership skills by participating in open-source projects or community initiatives related to AI/ML. This not only demonstrates your technical expertise but also your ability to manage and motivate teams.
✨Tip Number 3
Familiarise yourself with Apple's culture and values, particularly their focus on inclusivity and diversity. Be prepared to discuss how you can contribute to fostering a positive team environment during interviews.
✨Tip Number 4
Stay updated on the latest advancements in machine learning and AI technologies, especially those relevant to music analysis and recommendation systems. Being knowledgeable about current trends will help you stand out as a candidate.
We think you need these skills to ace Senior AI/ML Software Engineering Manager - Apple Music - Personalisation & Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing software engineering teams, particularly in AI/ML services. Emphasise any hands-on work you've done in shipping products related to recommendation systems or machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your vision for modern recommendation systems and how your leadership style fosters an inclusive team culture. Mention specific examples of how you've motivated teams to achieve excellence in previous roles.
Showcase Technical Expertise: Detail your technical skills and experiences that align with the job requirements. Highlight your knowledge of ML-driven pipelines, APIs, and your ability to communicate effectively with multi-functional teams.
Highlight Achievements: Include quantifiable achievements in your application, such as successful projects you've led or significant improvements in team performance. This will demonstrate your capability to deliver amazing products and lead teams effectively.
How to prepare for a job interview at Apple Inc.
✨Showcase Your Leadership Skills
As a Senior AI/ML Software Engineering Manager, it's crucial to demonstrate your ability to lead and motivate teams. Prepare examples of how you've successfully managed software engineering teams in the past, focusing on how you fostered collaboration and inclusivity.
✨Highlight Your Technical Expertise
Be ready to discuss your hands-on experience with AI and ML systems. Share specific projects where you engineered and shipped products, particularly in areas like recommender systems or NLP, to showcase your technical depth and understanding of the field.
✨Communicate Your Vision
Articulate your vision for modern recommendation systems and ML-driven pipelines. Be prepared to discuss how you would set technical direction and strategy, as well as how you plan to execute on these ideas within the team.
✨Prepare for Cross-Functional Collaboration
Since this role involves collaboration with teams in the US, practice discussing how you effectively communicate with multi-functional teams. Highlight your experience in managing product requirements, system architecture, and project schedules to demonstrate your collaborative skills.
