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-commerce, FashionIndustries

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 and familiarity with frameworks such as Transformers, PyTorch, or TensorFlow is required. Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps, is essential. Experience with NLP, image classifiers, deep learning, large language models, experiment design, A/B tests, building shared or platform-style ML systems, Databricks and PySpark, or working with AWS or another cloud platform is considered a bonus.

Responsibilities

The Machine Learning Scientist will research, design, and deliver machine learning solutions to solve cross-cutting problems within the fashion resale space. They will work with and finetune models for representation learning, computer vision, and classification, understanding requirements from various stakeholders to design general-purpose machine learning solutions. Responsibilities include setting up and conducting large-scale experiments, keeping up to date with research, contributing to internal knowledge sharing and ML best practices, and reporting technical findings to diverse audiences.

Skills

Machine Learning

Model Building

ML Infrastructure

Product Matching

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