Machine Learning Manager at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fashion, E-commerce, TechnologyIndustries

Requirements

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 models 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
Nice to have: Experience with OpenSearch

Responsibilities

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

Skills

Machine Learning

Search Engines

ML Models

Team Leadership

Mentoring

Depop

Peer-to-peer marketplace for unique fashion items

About Depop

Depop is an online marketplace designed for buying, selling, and discovering unique fashion items, including designer pieces, vintage finds, streetwear, and sneakers. The platform operates as a peer-to-peer marketplace, allowing users to list their items for sale directly to other users. Depop generates revenue by taking a commission on each sale, which aligns the company's success with that of its sellers. The platform primarily targets younger consumers who value sustainability and often seek second-hand fashion items, making it an appealing option for those looking to reduce waste and support independent brands. Additionally, Depop fosters a sense of community among its users, encouraging interaction and connection, which enhances the buying and selling experience. This community-driven approach, along with its focus on unique and sustainable fashion, sets Depop apart from other online marketplaces.

London, United KingdomHeadquarters

2011Year Founded

$97.3MTotal Funding

ACQUISITIONCompany Stage

Consumer GoodsIndustries

1,001-5,000Employees