Machine Learning Scientist at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerceIndustries

Requirements

Candidates should have experience working as a Machine Learning Scientist with a track record of delivering models to solve industry-scale problems, a solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow, proficiency in Python with the ability to write production-grade code and a good understanding of data engineering & MLOps, and collaborative and humble team player skills.

Responsibilities

As a Machine Learning Scientist, you will research, design, and deliver machine learning solutions to tackle problems, understand requirements from various stakeholders across the business, design machine learning solutions to solve business problems, set up and conduct large-scale experiments to test hypotheses and drive product development, keep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, participate in team ceremonies, and report and present technical findings to technical and non-technical audiences.

Skills

Machine Learning

Ranking Models

Model Building

Research

Design

Personalization

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