At a Glance
- Tasks: Build ranking models for personalised results that impact millions of users daily.
- Company: Join Depop, a community-driven fashion marketplace with a vibrant culture.
- Benefits: Enjoy flexible working, 25 days leave, and health access with Bupa.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make a real difference in fashion tech while working with cutting-edge machine learning.
- Qualifications: Experience in NLP, image processing, and proficiency in Python required.
The predicted salary is between 60000 - 80000 £ per year.
Depop is looking for a Machine Learning Scientist to build ranking models that serve personalized results to millions of users daily. You will collaborate with cross-functional teams, researching and delivering machine learning solutions.
The ideal candidate will have experience in NLP, image processing, and be proficient in Python.
Benefits include a flexible working model, 25 days leave, and health access with Bupa. Join us to be part of a community-driven fashion marketplace.
Machine Learning Scientist — Ranking & Personalization (Hybrid) employer: Depop
Depop is an excellent employer that fosters a collaborative and innovative work culture, perfect for those passionate about machine learning and personalisation in the fashion industry. With a flexible working model, generous leave policy, and access to health benefits through Bupa, employees are supported in both their professional and personal lives. Join us in a vibrant community-driven environment where your contributions will directly impact millions of users daily.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist — Ranking & Personalization (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Depop. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP and image processing. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding ranking models. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our community-driven fashion marketplace.
We think you need these skills to ace Machine Learning Scientist — Ranking & Personalization (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in NLP and image processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our community-driven fashion marketplace. Keep it engaging and personal!
Showcase Your Python Skills:Since proficiency in Python is key for this role, consider including specific examples of projects where you've used Python effectively. We love seeing practical applications of your skills!
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’s super easy!
How to prepare for a job interview at Depop
✨Know Your Machine Learning Stuff
Make sure you brush up on your knowledge of ranking models, NLP, and image processing. Be ready to discuss specific projects you've worked on and how you applied these techniques. This will show that you're not just familiar with the concepts but have practical experience too.
✨Show Off Your Python Skills
Since proficiency in Python is a must, be prepared to talk about your coding experience. You might even be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries like TensorFlow or PyTorch that are relevant to machine learning.
✨Collaborate Like a Pro
Depop values teamwork, so think of examples where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve contributed to group projects. This will demonstrate that you can work well in their community-driven environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about Depop's approach to personalisation and ranking models. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers!
