At a Glance
- Tasks: Join our ML team to create innovative ranking models for a vibrant fashion marketplace.
- Company: Depop, a community-driven platform redefining secondhand fashion.
- Benefits: Health perks, flexible working, generous leave, and learning opportunities.
- Other info: Inclusive culture with a focus on personal growth and well-being.
- Why this job: Make a real impact in fashion tech while collaborating with diverse teams.
- Qualifications: Experience in machine learning and proficiency in Python required.
The predicted salary is between 60000 - 75000 £ 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 dedicated Machine Learning 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.
Responsibilities- Research, design and deliver machine learning solutions to tackle problems within the ranking space.
- Understand requirements from various stakeholders across the business, designing machine learning solutions to power features like real-time feed personalisation or search relevance.
- Set up and conduct large-scale experiments to test hypotheses and drive product development.
- Keep up to date with research, contribute to internal knowledge sharing and ML best practices, and help the team stay informed about new techniques and approaches relevant to our work.
- Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping.
- Report and present technical findings to technical and non-technical audiences.
- 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 with 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.
- Experience working on learning-to-rank, search or recommendation models.
- Experience with NLP, image classifiers, deep learning, or large language models.
- Experience with experiment design and conducting A/B tests.
- Experience building shared or platform-style ML systems.
- 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, 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 *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!
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 well-being, offering generous benefits such as 25 days of annual leave, flexible working options, and comprehensive health support, Depop fosters a culture of growth and innovation. Employees are encouraged to learn and develop through mentorship programmes and budgets for conferences, making it a rewarding place for Machine Learning Scientists to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist, Ranking in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Depop. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. When you get the chance to chat with someone from the team, having something tangible to discuss can really set you apart.
✨Tip Number 3
Be ready for technical discussions! Brush up on your ML concepts and be prepared to talk about your past projects. The more confident you are in your knowledge, the better you'll impress the interviewers.
✨Tip Number 4
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.
We think you need these skills to ace Machine Learning Scientist, Ranking in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Scientist role. Highlight relevant experience, especially in ranking models and machine learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our mission at Depop. Be sure to mention any experience with A/B testing or collaborative projects, as we love team players.
Showcase Your Projects:If you've worked on any cool machine learning projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We’re keen to see your hands-on experience and how you tackle real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Depop!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to ranking models. Be ready to discuss frameworks like Transformers, PyTorch, or TensorFlow, and have examples of how you've applied these in real-world scenarios.
✨Understand Depop's Mission
Familiarise yourself with Depop's mission to make fashion circular and their commitment to diversity. Show that you understand how your role as a Machine Learning Scientist can contribute to this mission, particularly in personalising user experiences.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Practice writing production-grade Python code and be prepared to explain your thought process when designing machine learning solutions or conducting experiments.
✨Show Your Collaborative Spirit
Depop values teamwork, so be ready to share examples of how you've worked with cross-functional teams. Highlight your ability to communicate complex ideas to both technical and non-technical stakeholders, as this will be crucial in your role.
