Machine Learning Scientist at Depop

London, England, United Kingdom

Depop Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerceIndustries

Skills

Key technologies and capabilities for this role

Machine LearningRanking ModelsModel BuildingResearchDesignPersonalization

Questions & Answers

Common questions about this position

What is the salary for the Machine Learning Scientist role?

This information is not specified in the job description.

Is this a remote position or is there a location requirement?

This information is not specified in the job description.

What skills are required for the Machine Learning Scientist position?

Required skills include experience as a Machine Learning Scientist with a track record of delivering models to solve industry-scale problems, solid understanding of machine learning concepts and frameworks like Transformers, PyTorch or TensorFlow, and proficiency in Python for production-grade code with knowledge of data engineering and MLOps.

What is the company culture like at Depop?

Depop fosters an inclusive environment where everyone is welcome regardless of background, thrives on diverse perspectives and experiences to drive innovation, and is proud to be an equal opportunity employer.

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

A strong candidate has experience delivering machine learning models at industry scale, proficiency in Python and ML frameworks like PyTorch or TensorFlow, and the ability to research, design solutions, run experiments, and collaborate across teams.

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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