Machine Learning Manager at Depop

London, England, United Kingdom

Depop Logo
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

Key technologies and capabilities for this role

Machine LearningSearch EnginesML ModelsTeam LeadershipMentoring

Questions & Answers

Common questions about this position

What is the salary for the Machine Learning Manager role?

This information is not specified in the job description.

Is this Machine Learning Manager position remote or office-based?

This information is not specified in the job description.

What skills and experience are required for the Machine Learning Manager role?

Candidates need 7+ years in Machine Learning delivering industry-scale models, 2+ years leading ML Scientists or Engineers, and deep expertise in search and recommendation techniques like semantic embeddings, learning-to-rank, and personalization algorithms.

What is the company culture like at Depop?

Depop fosters an inclusive, experiment-driven culture, emphasizes diversity and different perspectives to drive innovation, and is committed to equal opportunities while continuously evolving recruitment for fairness.

What makes a strong candidate for the Machine Learning Manager position?

A strong candidate has significant ML experience at scale, leadership in ML teams, deep search/recommendation expertise, and the ability to lead vision, collaborate cross-functionally, and stay current with NLP, CV, and responsible AI practices.

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

Risks

Increased competition from eBay may attract sellers away from Depop.
Marketplace fee for UK buyers may deter some users from Depop.
Generative AI development could disrupt traditional resale models, challenging Depop.

Differentiation

Depop targets younger consumers interested in unique, sustainable fashion items.
The platform fosters a community-driven approach, enhancing user experience and engagement.
Depop's commission-based model aligns its success with that of its sellers.

Upsides

Increased interest in sustainable fashion drives more consumers to Depop.
Social commerce rise creates new engagement opportunities with Depop's young audience.
U.S. resale market forecasted to grow, offering Depop significant growth potential.

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