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- Tasks: Join our Core ML team to build and maintain machine learning models for fashion resale.
- Company: Depop is a vibrant platform revolutionising the fashion resale market.
- Benefits: Enjoy flexible hybrid working, 25 days leave, and health perks like PMI and counselling.
- Why this job: Be part of an innovative team making a real impact in the fashion industry.
- Qualifications: Experience in machine learning with proficiency in Python and frameworks like PyTorch or TensorFlow.
- Other info: Dog-friendly offices and opportunities to work abroad make this role even more exciting!
The predicted salary is between 36000 - 60000 £ per year.
Machine Learning Scientist
Team: Engineering & Data
Location: Depop – London
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 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 . For any other non-disability related questions, please reach out to our Talent Partners.
Life is about creating. That\’s why we\’re home to over 30 million artists, stylists, designers, sneakerheads — and you? We\’re the community-powered, circular-minded marketplace changing the world of online fashion. Now it\’s time to get inspired at Depop.
Responsibilities
Job description
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
You will:
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)
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
Familiarise yourself with the latest trends and advancements in machine learning, particularly in areas like computer vision and NLP. This will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the machine learning community by attending meetups or webinars. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved cross-functional collaboration. Highlight how you worked with different teams to deliver machine learning solutions, as this is crucial for the role.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be presenting findings to both technical and non-technical audiences, being able to communicate effectively is key to standing out.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Machine Learning Scientist. Focus on projects where you've delivered models, particularly in areas like computer vision or NLP, and mention any frameworks you’ve used such as PyTorch or TensorFlow.
Craft a Strong Cover Letter: In your cover letter, express your passion for machine learning and how it relates to the fashion resale space. Mention specific examples of your work that align with Depop's goals, such as designing general-purpose ML solutions or conducting large-scale experiments.
Showcase Collaboration Skills: Highlight your ability to work with cross-functional teams. Provide examples of how you've successfully collaborated with both technical and non-technical stakeholders in previous roles, as this is crucial for the position at Depop.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or conferences you've attended related to machine learning. This shows your commitment to staying updated with the latest techniques and best practices, which is important for the role.
How to prepare for a job interview at Depop
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like PyTorch or TensorFlow. Bring examples of models you've built or fine-tuned, and be ready to explain the impact they had on previous projects.
✨Understand the Business Context
Research Depop's business model and how machine learning can enhance their platform. Be ready to discuss how your solutions can address specific challenges in the fashion resale space, demonstrating your understanding of stakeholder needs.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with non-technical stakeholders. Highlight your communication skills and ability to translate complex concepts into understandable terms.
✨Stay Updated on ML Trends
Demonstrate your passion for machine learning by discussing recent advancements or techniques you've learned about. This shows your commitment to continuous learning and staying relevant in the field, which is crucial for a Machine Learning Scientist.
