Senior Machine Learning Scientist - Search at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, FashionIndustries

Requirements

Significant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problems
Experience with experiment design and conducting A/B tests
Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps
Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch
Collaborative and humble great teammate with an ability to work with multi-functional teams, including technical and non-technical stakeholders
Passion for learning new skills and staying up-to-date with ML algorithms

Responsibilities

Research, design and deliver ML solutions to take on problems within the search & discovery space (e.g., Learning-to-rank models, Vector search & embedding models, etc.)
Understand requirements from various partners across the business, designing machine learning solutions to address business problems (e.g., surfacing relevant results for searches, showing users personalised results in real time, determining the right price for a user)
Set up and conduct large-scale experiments to test hypotheses and drive product development
Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc
Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.)

Skills

Machine Learning

Search Engines

Ranking Models

Product Development

Backend Engineering

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