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- Tasks: Join our Core ML team to create innovative machine learning solutions in the fashion resale space.
- Company: Depop, a vibrant platform revolutionising fashion resale with cutting-edge technology.
- Benefits: Enjoy flexible working, 25 days leave, health benefits, and a fully paid sabbatical after 5 years.
- Why this job: Make a real impact by developing models that enhance user experience and drive innovation.
- Qualifications: Experience in machine learning, proficiency in Python, and a passion for collaboration and learning.
- Other info: Work in a dog-friendly office with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Machine Learning Scientist role at Depop
Company Description
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. Find out more at www.depop.com
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 & MLOps
- Collaborative and humble team player with an ability to work with cross‑functional teams, including technical and non‑technical stakeholders
- Passion for learning new skills and staying up‑to‑date with ML algorithms
Bonus points
- Experience working on learning‑to‑rank, search or recommendation models
- Experience with deep learning & large language models
- Experience with experiment design and conducting A/B tests
- Experience with Databricks and PySpark
- Experience working with AWS or another cloud platform (GCP/Azure)
Health + Mental Wellbeing
- PMI and cash plan healthcare access with Bupa
- Subsidised counselling and coaching with Self Space
- Cycle to Work scheme with options from Evans or the Green Commute Initiative
- Employee Assistance Programme (EAP) for 24/7 confidential support
- Mental Health First Aiders across the business for support and signposting
Work/Life Balance
- 25 days annual leave with option to carry over up to 5 days
- 1 company‑wide day off per quarter
- Impact hours: Up to 2 days additional paid leave per year for volunteering
- Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.
- Flexible Working: MyMode hybrid‑working model with Flex, Office Based, and Remote options *role dependant
- All offices are dog‑friendly
- Ability to work abroad for 4 weeks per year in UK tax treaty countries
Family Life
- 18 weeks of paid parental leave for full‑time regular employees
- IVF leave, shared parental leave, and paid emergency parent/carer leave
Learn + Grow
- Budgets for conferences, learning subscriptions, and more
- Mentorship and programmes to upskill employees
Your Future
- Life Insurance (financial compensation of 3x your salary)
- Pension matching up to 6% of qualifying earnings
Depop Extras
- Employees enjoy free shipping on their Depop sales within the UK.
- Special milestones are celebrated with gifts and rewards!
Seniority level
- Mid‑Senior level
Employment type
- Full‑time
Job function
- Other
Industries
- Software Development
Referrals increase your chances of interviewing at Depop by 2x
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Machine Learning Scientist employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Machine Learning Scientist role at Depop.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to machine learning. Share your GitHub or any relevant work on platforms like LinkedIn to grab attention.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Remember, confidence is key!
✨Apply Through Our Website
Make sure to apply directly through the Depop website. It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Scientist role. Highlight your experience with ML frameworks like PyTorch or TensorFlow, and showcase any relevant projects that demonstrate your skills in representation learning and computer vision.
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 your background aligns with our mission at Depop. Don’t forget to mention your collaborative spirit and eagerness to learn!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. Whether it's an A/B test you conducted or a model you built, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Depop
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain how you've designed, built, and fine-tuned models, especially in areas like representation learning and computer vision. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Collaboration Skills
Since you'll be working with cross-functional teams, it's crucial to demonstrate your ability to collaborate effectively. Share examples of how you've worked with product managers or engineers in the past, and highlight any successful projects that required teamwork. This will help them see you as a team player.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, MLOps, and frameworks like PyTorch or TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident during the interview.
✨Stay Updated on ML Trends
Depop values continuous learning, so make sure you're up-to-date with the latest trends and techniques in machine learning. Mention any recent research you've read or new skills you've acquired. This shows your passion for the field and your commitment to staying informed.