At a Glance
- Tasks: Design and implement innovative ML features for an enhanced listening experience.
- Company: Join Spotify, a leader in music streaming and innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for growth.
- Other info: Work within a dynamic team and contribute to exciting projects.
- Why this job: Make a real impact on millions with cutting-edge machine learning and generative AI.
- Qualifications: Experience in developing ML systems and strong NLP background required.
The predicted salary is between 60000 - 80000 £ per year.
Creandum is looking for an experienced ML practitioner to join the Horizon Product Area at Spotify. This role involves designing and implementing innovative features powered by machine learning and generative AI, contributing to an evolving listening experience for millions.
Successful candidates will have experience in developing ML systems at scale and a strong background in NLP.
Flexibility for remote work is offered as long as you're within the GMT/CET time zones, excluding France.
ML Engineer, Personalization & Generative AI in London employer: Creandum
At Creandum, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a member of the Horizon Product Area at Spotify, you'll have the opportunity to work on cutting-edge machine learning projects that enhance the listening experience for millions, all while enjoying flexible remote work options within the GMT/CET time zones. We are committed to your professional growth, offering ample opportunities for skill development and career advancement in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer, Personalization & Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ML and AI space, especially those at Spotify or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving NLP and generative AI. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview! Brush up on your technical knowledge and be ready to discuss your past experiences with ML systems. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace ML Engineer, Personalization & Generative AI in London
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with machine learning and generative AI. We want to see how you've designed and implemented innovative features in the past, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to NLP and ML systems at scale. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for the team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Creandum
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals, especially around NLP and generative AI. Be ready to discuss your previous projects and how you've implemented ML systems at scale. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing innovative features for Spotify using ML. This is your chance to demonstrate your creative thinking and technical skills, so don’t hold back!
✨Familiarise Yourself with Spotify's Products
Dive into Spotify’s current offerings and think about how your expertise in ML could enhance their user experience. Being able to discuss specific features or improvements shows genuine interest and helps you stand out as a candidate who’s already thinking about the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, the projects, and the company culture. This not only shows your enthusiasm for the role but also helps you gauge if it's the right fit for you. Remember, interviews are a two-way street!
