Job Description

Depop is looking for a versatile Senior Machine Learning Scientist to join our Recommendations 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 Depop''s search engine and ranking across the app.Responsibilities:Research, design, and deliver ML solutions to address problems within the search and discovery space, including:Learning-to-rank modelsVector search and embedding modelsetc.Understand requirements from various partners across the business, designing machine learning solutions to solve problems such as:How can we surface relevant results for this search?How can we show users personalized results in real time?What is the right price for this user?Set up and conduct large-scale experiments to test hypotheses and drive product development.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.)Qualifications:Significant experience (3+ years) working as a Machine Learning Scientist, with a proven track record of delivering models to solve industry-scale problems.Experience with experiment design and conducting A/B tests.Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering and MLOps.Solid understanding of machine learning concepts, familiarity with frameworks such as scikit-learn, TensorFlow, or PyTorch.Collaborative and humble team player capable of working 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 with Databricks and PySpark.Experience with deep learning and large language models.Experience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch).Experience working with AWS or other cloud platforms (GCP/Azure).Additional information:Health and Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidized counseling and coaching, Cycle to Work scheme, Employee Assistance Programme (EAP), Mental Health First Aiders.Work/Life Balance: 25 days annual leave, option to carry over 5 days, quarterly company-wide day off, impact hours for volunteering, fully paid 4-week sabbatical after 5 years.Flexible Working: Hybrid model with Flex, Office Based, and Remote options, dog-friendly offices, ability to work abroad for 4 weeks/year in UK tax treaty countries.Family Life: 18 weeks paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.Learn and Grow: budgets for conferences and subscriptions, mentorship programs.Your Future: Life Insurance (3x salary), pension matching up to 6%, employee perks like free UK shipping on Depop sales, celebration gifts and rewards.#J-18808-Ljbffr