At a Glance
- Tasks: Lead the design and deployment of advanced ranking models for Depop’s app.
- Company: Join Depop, a vibrant community-driven fashion marketplace with over 35 million users.
- Benefits: Enjoy flexible working, generous leave, health benefits, and professional development opportunities.
- Other info: Be part of a diverse team that values inclusivity and innovation.
- Why this job: Make a real impact in the fashion industry while innovating with cutting-edge machine learning.
- Qualifications: Significant experience in machine learning and proven ability to lead projects.
The predicted salary is between 70000 - 90000 £ per year.
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.
Depop is looking for a talented Staff ML Scientist to join our Ranking ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain ranking models to power Depop’s app, serving millions of personalised results to users daily. As a staff-level member of the team, you will be expected to set the technical vision, lead high-impact initiatives, and mentor and coach others to drive innovation at scale, while working across multiple domains and stakeholders.
Responsibilities
- Lead the design and deployment of advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces.
- Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes.
- Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration.
- Drive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy.
- Mentor, coach, and set technical direction within the Ranking ML team, helping others grow and innovate.
- Act as a thought leader in the ranking space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally.
Qualifications
- Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact.
- Proven track record in designing and optimizing learning-to-rank models.
- Deep understanding of machine learning concepts and frameworks.
- Proven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting.
- Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence.
- Excellent communication skills: able to bridge technical and non-technical stakeholders and influence decision making.
- Committed to responsible AI practices, including attention to ethics, fairness, and inclusivity.
Additional Information
- Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space, Cycle to Work scheme, 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.
- Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options, 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!
Staff Machine Learning Scientist, Ranking in London employer: Dormont Manufacturing Co
Depop is an exceptional employer that champions a diverse and inclusive work environment, reflecting the vibrant community it serves. With a strong focus on employee growth, the company offers extensive benefits such as flexible working arrangements, generous leave policies, and opportunities for professional development through mentorship and learning budgets. Located in London, Depop not only provides a dynamic workplace but also fosters innovation in the fashion tech industry, making it a rewarding place for those passionate about circular fashion and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Scientist, Ranking in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Depop or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to ranking models. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and be ready to discuss ML frameworks like PyTorch or TensorFlow. Practice explaining your thought process clearly, as communication is key in bridging technical and non-technical discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Depop community and its mission to make fashion circular.
We think you need these skills to ace Staff Machine Learning Scientist, Ranking in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Staff Machine Learning Scientist. Highlight your experience with ranking models and any relevant projects you've led. We want to see how your skills align with our mission at Depop!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for circular fashion and how your expertise in machine learning can contribute to our goals. Let us know why you’re excited about joining the Depop team.
Showcase Your Projects:Include links to any relevant projects or GitHub repositories that demonstrate your skills in ML. We love seeing practical examples of your work, especially those that have made a measurable impact!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and frameworks, especially around ranking models. Be ready to discuss your past projects and how you've tackled complex problems. This will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Collaboration Skills
Depop values teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Highlight specific examples where you’ve collaborated with product managers or engineers to deliver successful outcomes. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Bring Your Ideas
Think about innovative ML techniques or frameworks you could bring to the table. Depop is looking for someone who can drive innovation, so come armed with ideas on how to improve their ranking models. This shows initiative and a forward-thinking mindset.
✨Be Ready to Mentor
As a staff-level candidate, you’ll be expected to mentor others. Prepare to discuss your mentoring experiences and how you’ve helped others grow in their roles. This will highlight your leadership skills and commitment to fostering a positive team environment.
