Machine Learning Scientist, Ranking

🕒 February 24

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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Depop

WebsiteLinkedInAll Job Openings

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

• Research, design and deliver machine learning solutions to tackle problems within the ranking space • Understand requirements from various stakeholders across the business, designing machine learning solutions to power features like real-time feed personalisation or search relevance. • Set up and conduct large-scale experiments to test hypotheses and drive product development • Keep up to date with research, contribute to internal knowledge sharing and ML best practices, and help the team stay informed about new techniques and approaches relevant to our work • Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping • Report and present technical findings to technical and non-technical audiences

🎯 Requirements

• Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems • Solid understanding of machine learning concepts, familiarity with 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 • Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders • Passion for learning new skills and staying up-to-date with ML algorithms • Bonus Points • Experience working on learning-to-rank, search or recommendation models • Experience with NLP, image classifiers, deep learning, or large language models • Experience with experiment design and conducting A/B tests • Experience building shared or platform-style ML systems • Experience with Databricks and PySpark • Experience working with AWS or another cloud platform (GCP/Azure)

🏖️ 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 • 1 company-wide day off per quarter • 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!