Senior Machine Learning Scientist - Search

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Senior Machine Learning Scientist - Search

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Latinx in AI (LXAI)Senior Machine Learning Scientist - SearchJoin to apply for the

Senior Machine Learning Scientist - Search

role at

Latinx in AI (LXAI)Senior Machine Learning Scientist - SearchFull-timeTechnologyDepop 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. Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where theyre from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. Were 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. 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.For any other non-disability related questions, please reach out to our Talent Partners.Depop is looking for a versatile Senior Machine Learning Scientist to join our Search and Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depops search engine and ranking across the app.Research, design and deliver ML solutions to take on problems within the search and discovery space:Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:Keep up to date with pioneering 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)Significant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problemProficiency in Python, with the ability to write production-grade code and a good understanding of data engineering and MLOpsSolid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorchPassion for learning new skills and staying up-to-date with ML algorithmsBonus pointsExperience with deep learning and large language modelsExperience with traditional, semantic, and hybrid search frameworks (e.g. Experience working with AWS or another cloud platform (GCP/Azure)Subsidised 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 supportWork/Life Balance-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, 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 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

Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of qualifying earningsEmployees enjoy free shipping on their Depop sales within the UK.Employment type

Full-time

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