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

Key technologies and capabilities for this role

Machine LearningSearch EnginesRanking ModelsProduct DevelopmentBackend Engineering

Questions & Answers

Common questions about this position

What is the salary for this Senior Machine Learning Scientist role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

The role requires significant experience (3+ years) working as a Data Scientist with a track record of delivering models, expertise in researching, designing, and delivering ML solutions like learning-to-rank models and vector search & embedding models, and knowledge of NLP and image processing.

What is the team structure like for this position?

You will join the Search & Ranking team, working alongside a Product Manager, Backend Engineers, and other ML Scientists to build models for Depop’s search engine and ranking.

What makes a strong candidate for this Senior Machine Learning Scientist role?

A strong candidate has 3+ years as a Data Scientist with proven model delivery, experience in ML solutions for search like learning-to-rank and vector embeddings, ability to run large-scale experiments, and staying current with NLP and image processing research.

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