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- Tasks: Join our Search & Ranking team to build innovative ML models for Depop's search engine.
- Company: Depop is a vibrant marketplace connecting buyers and sellers in a unique way.
- Benefits: Enjoy flexible working, 25 days leave, health perks, and learning budgets.
- Why this job: Be part of a collaborative team driving impactful ML solutions in a dynamic environment.
- Qualifications: 3+ years as a Data Scientist with strong Python skills and ML expertise required.
- Other info: Bonus points for experience with cloud platforms and deep learning frameworks.
The predicted salary is between 48000 - 84000 £ per year.
Senior Machine Learning Scientist – Search
Join to apply for the Senior Machine Learning Scientist – Search role at Depop
Senior Machine Learning Scientist – Search
Join to apply for the Senior Machine Learning Scientist – Search 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.
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.
Job Description
Depop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop’s search engine and ranking across the app.
Responsibilities
You will:
- Research, design and deliver ML solutions to take on problems within the search & discovery space:
- Learning-to-rank models
- Vector search & embedding models
- etc.
- How can we surface relevant results for this search?
- How can we show users personalised results in real time?
- What is the right price for this user?
Qualifications
Skills and experience
- Significant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problem
- Experience with experiment design and conducting A/B tests
- Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps
- Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch
- Collaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders
- Passion for learning new skills and staying up-to-date with ML algorithms
Bonus points
- Experience with Databricks and PySpark
- Experience with deep learning & large language models
- Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)
- Experience working with AWS or another cloud platform (GCP/Azure)
Additional Information
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
-
Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Other
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Industries
Software Development
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Senior Machine Learning Scientist - Search employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist - Search
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially in search and ranking algorithms. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of Depop, particularly those in the Search & Ranking team. They can provide insights into the company culture and the specific challenges the team faces, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and experiment design in detail. Be ready to share specific examples of how your work has impacted product development, as this is a key responsibility for the role.
✨Tip Number 4
Showcase your collaborative skills by highlighting past experiences where you've worked with cross-functional teams. Emphasising your ability to communicate effectively with both technical and non-technical stakeholders will set you apart from other candidates.
We think you need these skills to ace Senior Machine Learning Scientist - Search
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any projects related to search and ranking. Emphasise your proficiency in Python and any frameworks like TensorFlow or PyTorch that you have used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it relates to the role at Depop. Mention specific examples of past projects where you've successfully delivered ML solutions, especially those involving A/B testing or large-scale experiments.
Showcase Collaboration Skills: Depop values teamwork, so highlight experiences where you've worked with cross-functional teams. Discuss how you’ve communicated complex technical concepts to non-technical stakeholders, demonstrating your collaborative spirit.
Stay Current with Trends: Mention any recent advancements in machine learning that excite you, particularly in NLP or image processing. This shows your commitment to continuous learning and staying updated with industry trends, which is crucial for the role.
How to prepare for a job interview at Depop
✨Showcase Your Experience
Make sure to highlight your significant experience in data science, especially any projects where you've delivered models that solved industry-scale problems. Be prepared to discuss specific examples and the impact they had.
✨Demonstrate Experiment Design Skills
Since the role involves conducting large-scale experiments and A/B tests, be ready to explain your approach to experiment design. Discuss any relevant experiences and how you measured success in your past projects.
✨Familiarity with Tools and Frameworks
Brush up on your knowledge of Python and machine learning frameworks like TensorFlow or PyTorch. Be prepared to discuss your proficiency and any production-grade code you've written, as well as your understanding of MLOps.
✨Emphasise Collaboration
As a collaborative team player, it's important to convey your ability to work with both technical and non-technical stakeholders. Share examples of how you've successfully collaborated in multi-functional teams and contributed to achieving common goals.
