At a Glance
- Tasks: Design and implement machine learning pipelines to optimise product recommendations.
- Company: Join Depop, a leading platform in the fashion resale market.
- Benefits: Enjoy flexible hybrid working, health support, and learning opportunities.
- Other info: Be part of a dynamic team focused on innovation and personal growth.
- Why this job: Make a real impact on user experience with cutting-edge ML technology.
- Qualifications: Experience in building production ML systems and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Depop is seeking a Machine Learning Engineer to join its Recommendations team in the UK. This role involves designing and implementing machine learning pipelines and optimizing recommendation systems to enhance personalized product suggestions across the app.
The ideal candidate will have experience in building production ML systems, solid communication skills, and an ownership mindset.
Depop offers a flexible hybrid working model along with numerous benefits including health support and learning opportunities.
Senior ML Engineer, Recommendations — Hybrid/Remote in London employer: Depop
Depop is an excellent employer for those looking to make a meaningful impact in the tech industry, particularly within the realm of machine learning. With a flexible hybrid working model, employees enjoy a supportive work culture that prioritises health and well-being, alongside ample opportunities for professional growth and development. Joining Depop means being part of a dynamic team dedicated to enhancing user experiences through innovative technology in a vibrant UK setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Recommendations — Hybrid/Remote in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Depop on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous ML projects, especially those related to recommendation systems. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview prep! Research common ML engineering interview questions and practice your answers. Be ready to discuss your approach to building production ML systems and how you optimise them.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on the Depop careers page. It’s the best way to ensure your CV gets seen by the right people.
We think you need these skills to ace Senior ML Engineer, Recommendations — Hybrid/Remote in London
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with building production ML systems. We want to see how you've tackled challenges in the past and what tools you've used to optimise recommendation systems.
Be Clear and Concise:We love a good story, but keep it relevant! Use clear language and get straight to the point about your achievements and skills. This helps us understand your fit for the role without wading through unnecessary fluff.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior ML Engineer role. Show us that you understand what we’re looking for and how you can contribute to our team.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Depop
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems. Be ready to discuss your experience with building production ML systems and any specific algorithms you've worked with. This will show that you’re not just familiar with the theory but have practical knowledge too.
✨Show Off Your Projects
Prepare to talk about your past projects in detail. Highlight any challenges you faced while designing or implementing ML pipelines and how you overcame them. This gives the interviewers insight into your problem-solving skills and ownership mindset.
✨Communicate Clearly
Since solid communication skills are a must for this role, practice explaining complex technical concepts in simple terms. You might be asked to explain your work to non-technical team members, so being able to articulate your ideas clearly is key.
✨Ask Smart Questions
Come prepared with thoughtful questions about Depop’s current recommendation systems and their future plans. This shows your genuine interest in the role and helps you understand how you can contribute to the team effectively.
