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- Tasks: Lead engineering efforts for AI-driven personalised recommendations at Spotify.
- Company: Join Spotify's innovative Surfaces Foundation team.
- Benefits: Flexible work options and a supportive, inclusive environment.
- Other info: Opportunity to thrive in a dynamic, collaborative setting.
- Why this job: Shape the future of music recommendations and make a real impact.
- Qualifications: Experience with machine learning systems and recommendation platforms.
The predicted salary is between 100000 - 150000 £ per year.
Spotify's Surfaces Foundation team is seeking a leader to guide engineering efforts for personalized recommendations. The role involves shaping AI-driven recommendations, evolving foundational capabilities, and ensuring team alignment across various disciplines.
Ideal candidates will have experience with machine learning systems and recommendation platforms, comfortable navigating ambiguity and fostering inclusive, supportive environments.
Flexible work is offered within the EMEA region.
Director, ML Platform for Personalization at Scale in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, ML Platform for Personalization at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your passion for AI and machine learning! When you get the chance to speak with hiring managers, share your thoughts on the latest trends and how they could impact personalized recommendations. It’ll show you’re not just another candidate.
✨Tip Number 3
Prepare for those tricky interview questions! Think about how you’ve navigated ambiguity in past projects and how you fostered inclusive environments. We want to hear your stories that highlight your leadership skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Director, ML Platform for Personalization at Scale in London
Some tips for your application 🫡
Show Your Passion for Personalisation: When writing your application, let us see your enthusiasm for personalised recommendations. Share any relevant experiences or projects that highlight your understanding of AI-driven systems and how they can enhance user experiences.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your skills and experiences, especially those related to machine learning and recommendation platforms.
Highlight Your Leadership Skills: As a potential leader in our team, it’s crucial to showcase your ability to guide and inspire others. Include examples of how you've fostered inclusive environments and aligned teams across different disciplines in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Spotify
✨Know Your ML Stuff
Make sure you brush up on your machine learning systems and recommendation platforms. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and experience in the field.
✨Showcase Your Leadership Skills
As a director, you'll need to demonstrate your ability to lead and align teams across various disciplines. Prepare examples of how you've successfully guided teams through ambiguity and fostered an inclusive environment. Highlight your approach to collaboration and conflict resolution.
✨Understand Spotify's Vision
Familiarise yourself with Spotify's Surfaces Foundation team and their goals. Think about how your vision for AI-driven recommendations aligns with theirs. Being able to articulate this connection will show that you're not just looking for any job, but that you're genuinely interested in contributing to their mission.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the team's current challenges, future projects, or how they measure success in personalisation efforts. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.