Depop
201 - 500 employees
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 35 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption.
Staff Machine Learning Scientist – Core ML
🕒 February 18
🇬🇧 United Kingdom – Remote
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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Depop
201 - 500 employees
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 35 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption.
📋 Description
• Own the design, development, and deployment of robust machine learning solutions to solve cross-cutting problems within the fashion resale space • Work with and fine-tune models for representation learning, computer vision, and classification, and own efforts to productionize, scale, and evolve them as shared systems • Partner closely with senior stakeholders across the business to define problems, and lead the design of general-purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation • Lead the end-to-end lifecycle of large-scale experiments, from hypothesis generation through evaluation, to guide model and product improvements, ensuring statistical difficulty and real-world applicability • Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and chip in technical expertise to long-term product and data strategy • Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping, setting technical direction and improving for the team • Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders, and influence decision making
🎯 Requirements
• Proven track record of delivering and scaling models that solve complex, real-world problems with measurable business impact • Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow • Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles • Ability to lead the end-to-end lifecycle of ML initiatives, work independently in ambiguous problem spaces, and mentor and grow other scientists and engineers • Strong collaboration and interpersonal skills, with experience aligning technical approaches with multi-functional teams and stakeholders • Experience with NLP, image classifiers, deep learning, or large language models (bonus) • Experience with experiment design and conducting A/B tests (bonus) • Experience building shared or platform-style ML systems (bonus) • Experience with Databricks and PySpark (bonus) • Experience working with AWS or another cloud platform (GCP/Azure) (bonus)
🏖️ Benefits
• PMI and cash plan healthcare access with Bupa • Subsidised counselling and coaching with Self Space • Cycle to Work scheme with options from Evans or the Green Commute Initiative • Employee Assistance Programme (EAP) for 24/7 confidential support • Mental Health First Aiders across the business for support and signposting • 25 days annual leave with option to carry over up to 5 days • Up to 2 days additional paid leave per year for volunteering • Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop • MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant • All offices are dog-friendly • Ability to work abroad for 4 weeks per year in UK tax treaty countries • 18 weeks of paid parental leave for full-time regular employees • IVF leave, shared parental leave, and paid emergency parent/carer leave • Budgets for conferences, learning subscriptions, and more • Mentorship and programmes to upskill employees • Life Insurance (financial compensation of 3x your salary) • Pension matching up to 6% of qualifying earnings • Employees enjoy free shipping on their Depop sales within the UK. • Special milestones are celebrated with gifts and rewards!
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