Machine Learning Scientist

Company DescriptionDepop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.comOur mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.RoleAt Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist, you will work on building state-of-the-art ranking models to power Depop’s app, serving millions of personalised results to users daily.ResponsibilitiesYou will:Research, design and deliver machine learning solutions to tackle problemsUnderstand requirements from various stakeholders across the business, designing machine learning solutions to solve business problemsSet up and conduct large-scale experiments to test hypotheses and drive product developmentKeep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)Report and present technical findings to technical and non-technical audiencesQualificationsExperience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problemsSolid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlowProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOpsCollaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholdersPassion for learning new skills and staying up-to-date with ML algorithmsBonus pointsExperience working on learning-to-rank, search or recommendation modelsExperience with deep learning & large language modelsExperience with experiment design and conducting A/B testsExperience with Databricks and PySparkExperience working with AWS or another cloud platform (GCP/Azure)Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterImpact hours: Up to 2 days additional paid leave per year for volunteeringFully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Budgets for conferences, learning subscriptions, and moreMentorship and programmes to upskill employeesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of qualifying earningsDepop Extras:Employees enjoy free shipping on their Depop sales within the UK.Special milestones are celebrated with gifts and rewards!#J-18808-Ljbffr…