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- Tasks: Join our team to create innovative ML models for search and ranking at Depop.
- Company: Depop is a vibrant marketplace for secondhand fashion, with over 35 million users worldwide.
- Benefits: Enjoy flexible working, mental health support, and generous leave policies including a paid sabbatical.
- Why this job: Be part of a mission-driven company that values diversity and sustainability in fashion.
- Qualifications: 3+ years in data science, proficient in Python, and experienced in ML frameworks.
- Other info: Work in a dog-friendly office and enjoy perks like free shipping on your Depop sales.
The predicted salary is between 43200 - 72000 £ per year.
Senior Machine Learning Scientist – Search page is loaded
Senior Machine Learning Scientist – SearchApply remote type Open to Remote locations London, UK time type Full time posted on Posted 22 Days Ago job requisition id JR4886
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 theyre 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. Were 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. Were 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 Depops search engine and ranking across the app.
Responsibilities:
You will:
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Research, design and deliver ML solutions to take on problems within the search & discovery space:
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Learning-to-rank models
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Vector search & embedding models
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etc.
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Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:
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How can we surface relevant results for this search?
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How can we show users personalised results in real time?
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What is the right price for this user?
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Set up and conduct large-scale experiments to test hypotheses and drive product development
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Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.
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Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)
Qualifications
Skills and experience
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Significant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problem
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Experience with experiment design and conducting A/B tests
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Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps
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Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch
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Collaborative and humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders
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Passion for learning new skills and staying up-to-date with ML algorithms
Bonus points
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Experience with Databricks and PySpark
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Experience with deep learning & large language models
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Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)
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Experience working with AWS or another cloud platform (GCP/Azure)
Additional Information
Health + Mental Wellbeing
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PMI and cash plan healthcare access with Bupa
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Subsidised counselling and coaching with Self Space
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Cycle to Work scheme with options from Evans or the Green Commute Initiative
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Employee Assistance Programme (EAP) for 24/7 confidential support
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Mental Health First Aiders across the business for support and signposting
Work/Life Balance:
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25 days annual leave with option to carry over up to 5 days
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1 company-wide day off per quarter
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Impact hours: Up to 2 days additional paid leave per year for volunteering
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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.
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Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant
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All offices are dog-friendly
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Ability to work abroad for 4 weeks per year in UK tax treaty countries
Family Life:
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18 weeks of paid parental leave for full-time regular employees
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IVF leave, shared parental leave, and paid emergency parent/carer leave
Learn + Grow:
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Budgets for conferences, learning subscriptions, and more
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Mentorship and programmes to upskill employees
Your Future:
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Life Insurance (financial compensation of 3x your salary)
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Pension matching up to 6% of qualifying earnings
Depop Extras:
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Employees enjoy free shipping on their Depop sales within the UK.
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Special milestones are celebrated with gifts and rewards!
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Depop is the community-powered fashion marketplace to buy and sell circular fashion, with over 30 million registered users in more than 150 countries. Depop is a place for anyone to discover and celebrate their style on their own terms, and to feel good about their fashion choices by extending the lives of millions of garments.
The company was founded in 2011 and is headquartered in London with offices in Manchester and New York. Depop has approximately 400 employees dedicated to its mission of building the worlds most diverse progressive home of fashion, thats kinder on the planet and kinder to people. In 2021, Depop became a wholly-owned subsidiary of Etsy – the global marketplace for unique and creative goods – and continues to operate as a standalone company.
Keep up to date
Want to learn more about life at Depop?
We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page.
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Senior Machine Learning Scientist - Search (London) employer: Etsy
Contact Detail:
Etsy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist - Search (London)
✨Tip Number 1
Familiarise yourself with Depop's mission and values. Understanding their commitment to circular fashion and inclusivity will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Brush up on the latest trends in machine learning, particularly in search and ranking algorithms. Being able to discuss recent advancements or case studies can demonstrate your passion and expertise in the field.
✨Tip Number 3
Network with current or former employees of Depop on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges the Search & Ranking team faces, which you can address in your discussions.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and experiment design. Be ready to share specific examples of how you've used these methods to drive product development, as this is a key responsibility for the role.
We think you need these skills to ace Senior Machine Learning Scientist - Search (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any projects or roles that involved search algorithms or ranking models. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for circular fashion and how your expertise aligns with Depop's mission. Mention specific technologies or methodologies you have used that relate to the job description, such as Python, TensorFlow, or A/B testing.
Showcase Your Problem-Solving Skills: Include examples of how you've tackled complex problems in previous roles. Discuss any large-scale experiments you've conducted and the impact they had on product development, especially in the context of search and discovery.
Highlight Collaboration Experience: Depop values teamwork, so be sure to mention any experience working with cross-functional teams. Describe how you’ve collaborated with product managers, engineers, or other stakeholders to achieve common goals.
How to prepare for a job interview at Etsy
✨Showcase Your Technical Skills
As a Senior Machine Learning Scientist, you'll need to demonstrate your proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch. Be prepared to discuss specific projects where you've successfully implemented machine learning models, focusing on the challenges you faced and how you overcame them.
✨Understand the Business Context
Depop is focused on enhancing its search and ranking capabilities. Make sure you understand their mission and how machine learning can solve real business problems. Prepare examples of how you've previously aligned technical solutions with business objectives, particularly in search and discovery.
✨Prepare for Experimentation Discussions
Given the emphasis on A/B testing and large-scale experiments, be ready to discuss your experience with experiment design. Share insights on how you've set up experiments, what metrics you tracked, and how your findings influenced product development.
✨Emphasise Collaboration and Teamwork
Depop values a collaborative environment. Highlight your experience working with cross-functional teams, including both technical and non-technical stakeholders. Discuss how you communicate complex ideas clearly and how you contribute to team dynamics.