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- Tasks: Design and deliver innovative machine learning solutions for a leading fashion marketplace.
- Company: Join Depop, a vibrant community-driven platform redefining fashion consumption.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by serving millions with personalised app experiences.
- Qualifications: Experience in machine learning and proficiency in Python required.
- Other info: Dynamic team environment with a focus on diversity and innovation.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Machine Learning Scientist role at Depop.
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.
Role:
At Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist, you will work on building state-of-the-art ranking models to power Depop's app, serving millions of personalised results to users daily.
Responsibilities:
- Research, design and deliver machine learning solutions to tackle problems.
- Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems.
- Set up and conduct large-scale experiments to test hypotheses and drive product development.
- Keep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.
- Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc).
- Report and present technical findings to technical and non-technical audiences.
Qualifications:
- Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems.
- Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow.
- Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering.
Machine Learning Scientist employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to people 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. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms – you’ll need to impress both techies and non-techies!
✨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 joining the Depop community.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Show Your Passion for Fashion: When you're writing your application, let your love for fashion and sustainability shine through. We want to see how you connect with our mission of making fashion circular, so share any relevant experiences or projects that highlight this passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Scientist role. Highlight your experience with machine learning frameworks like PyTorch or TensorFlow, and don’t forget to mention any cool projects you've worked on that relate to our needs.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your skills and experiences, especially when discussing technical concepts. We appreciate clarity, and it helps us understand your qualifications better!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Depop!
How to prepare for a job interview at Depop
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and frameworks like Transformers, PyTorch, and TensorFlow. Be ready to discuss your past projects and how you've applied these technologies to solve real-world problems.
✨Understand Depop's Mission
Familiarise yourself with Depop's mission to make fashion circular. Think about how your skills as a Machine Learning Scientist can contribute to this goal and be prepared to share your ideas during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning algorithms and data engineering. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Show Your Collaborative Spirit
Depop values diverse perspectives and teamwork. Be ready to discuss how you've worked in agile teams before, participated in whiteboarding sessions, and collaborated with stakeholders to deliver successful projects.
