
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.
đ February 18
đ˘đĄ London â Hybrid
â° Full Time
đĄ Mid-level
đ Senior
đ¤ Machine Learning Engineer
đŹđ§ UK Skilled Worker Visa Sponsor
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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.
⢠Research, design and deliver machine learning solutions to tackle problems ⢠Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems ⢠Set up and conduct large-scale experiments to test hypotheses and drive product development ⢠Keep 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 audiences
⢠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 working with common 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 deep learning & large language models ⢠Experience with experiment design and conducting A/B tests ⢠Experience with Databricks and PySpark ⢠Experience working with AWS or another cloud platform (GCP/Azure)
⢠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, to give you a chance to recharge or do something you love. ⢠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!
Apply Nowđ January 16
51 - 200
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