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- Tasks: Lead a talented team to innovate music recommendations using AI/ML.
- Company: Join Apple, a leader in tech innovation and customer experience.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for growth.
- Why this job: Make an impact by connecting millions to their favorite music through cutting-edge technology.
- Qualifications: Experience in managing AI/ML teams and shipping scalable products is essential.
- Other info: Work in central London while collaborating with teams across the US.
The predicted salary is between 57600 - 84000 £ per year.
Senior AI/ML Software Engineering Manager – Apple Music – Music Intelligence
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The Apple Services Engineering Music ML team is looking for a passionate ML Software Engineering Manager to lead a variety of key initiatives to keep us at the cutting edge of music recommendations, personalization, and artificial intelligence. Your leadership and ingenuity will be critical to our success. Are you passionate about building a world-class engineering team and fostering the growth of your employees? Do you want to manage services that use state-of-the-art machine learning to recommend music to tens of millions of people? Do you embrace ownership and accountability? Do you want to work hand-in-hand with great people across Research, Engineering, and Product in our mission to connect our users to the music they love?
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 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. 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 personalization 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 - Music Intelligence 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 - Music Intelligence
✨Tip Number 1
Make sure to showcase your leadership experience in managing AI/ML teams. Highlight specific projects where you successfully guided your team to deliver impactful products, especially in the music or recommendation systems domain.
✨Tip Number 2
Demonstrate your technical expertise by discussing your hands-on experience with machine learning models and systems. Be prepared to share examples of how you've implemented state-of-the-art solutions in previous roles.
✨Tip Number 3
Emphasize your ability to foster an inclusive team culture. Share strategies you've used to promote diversity and collaboration within your teams, as this aligns with the values of Apple Music.
✨Tip Number 4
Prepare to discuss your vision for modern recommendation systems. Think about how you would approach building ML-driven pipelines and APIs, and be ready to articulate this during your conversations with us.
We think you need these skills to ace Senior AI/ML Software Engineering Manager - Apple Music - Music Intelligence
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and qualifications outlined in the job description. Highlight your relevant experience in managing AI/ML teams and your hands-on work in the field.
Tailor Your CV: Customize your CV to reflect your experience in software engineering, particularly in AI/ML services. Emphasize your leadership roles and any successful projects related to music recommendations or personalization.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for music and technology. Discuss how your vision aligns with Apple's mission and how you can contribute to their innovative projects in music intelligence.
Showcase Your Achievements: In your application, include specific examples of how you've led teams to success in AI/ML projects. Use metrics to demonstrate the impact of your work, such as improvements in recommendation accuracy or user engagement.
How to prepare for a job interview at Apple Inc.
✨Show Your Passion for AI/ML
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Share specific examples of projects you've worked on that demonstrate your passion and expertise in these areas, especially in music recommendations or personalization.
✨Highlight Leadership Experience
Discuss your experience in managing software engineering teams. Provide concrete examples of how you've motivated and developed your team members, and how you fostered an inclusive culture that promotes diversity and excellence.
✨Demonstrate Technical Knowledge
Be prepared to talk about your hands-on experience with AI/ML systems. Discuss the technical direction you've set in previous roles, including any roadmaps you've created and executed. This will show your ability to lead and innovate in the field.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating complex technical concepts clearly. Be ready to discuss how you've effectively communicated with cross-functional teams about product requirements, system architecture, and project timelines.
