Senior Machine Learning Scientist

Company Description Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion.

Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. 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.

For more information, visit www.depop.com We aim 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.

AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human. 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 .

Role:   At Depop, machine learning is integral to building a safe and trusted marketplace. As a Senior Machine Learning Scientist in the Trust Detection team, you will own the design, development, and evolution of machine learning systems that detect and prevent harmful or policy-violating content across the platform. You will work on high-impact trust, safety, and fraud problems such as phishing prevention, counterfeit detection, and identifying prohibited or restricted listings.

This role requires operating in ambiguous and adversarial environments, where you will define problems, shape solutions, and deliver robust systems that scale. Your work will leverage modern deep learning and large language models to drive meaningful improvements in user safety and platform integrity. Responsibilities: Own end-to-end machine learning solutions , from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches , including model selection, fine-tuning, evaluation, and failure analysis Define and drive experimentation strategy , including offline evaluation and online testing, to rigorously measure impact and inform product decisions Work in ambiguous, evolving problem spaces , proactively identifying new risks and shaping detection strategies in partnership with Trust, Policy, and Product Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influe