Machine Learning Manager
Team: Engineering & Data
Location: Depop - London
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 . For any other non-disability related questions, please reach out to our Talent Partners.
Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.
Responsibilities
Job description
Role
Depop is looking for a talented ML Manager to lead our Search ML team in the UK. In this role, you will lead a team of ML Scientists, building state-of-the-art models to power Depop’s search engine.
Responsibilities
You will:
Lead and mentor a team of ML Scientists, setting the vision and fostering an inclusive, experiment-driven culture.
Partner with the team’s leads (Product Manager, Backend EM, Data Analyst) to translate business questions into an actionable search-ML roadmap that moves GMV, conversion and engagement.
Collaborate with the MLOps team to embed best practices and efficient ML workflows - covering CI/CD, feature management, monitoring, etc..
Collaborate with other ML teams, sharing models, tooling and insights, particularly in areas like Recommendations and Ranking
Stay on the pulse of new research in NLP, CV and multimodal retrieval, champion responsible-AI best practices, and present findings to technical and non-technical audiences.
Qualifications
Significant experience (7+ years) working in Machine Learning, delivering models to solve industry-scale problems, and 2 + years leading teams of ML Scientists and/or ML Engineers
Deep expertise in search and recommendation techniques: semantic embeddings, learning-to-rank, personalisation algorithms, etc.
Proven track record of delivering ML modes end-to-end: data strategy, training, deployment and monitoring , using Python, Spark and major deep-learning frameworks (e.g. PyTorch or TensorFlow)
Experience working in cloud and MLOps environments
Strong command of experimental design, offline metrics and online A/B testing to drive product strategy
Excellent collaboration and communication skills, able to translate complex ML concepts seamlessly for PMs, engineers and executives
Nice to have
Experience with AWS & Databricks
Experience with OpenSearch
