Job Description
Depop is looking for a versatile Senior Machine Learning Scientist to join our Search & 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 Depop's search engine and ranking across the app.
Responsibilities:
* Research, design, and deliver ML solutions to address problems within the search & discovery space, such as:
o Learning-to-rank models
o Vector search & embedding models
o etc.
* Understand requirements from various partners across the business, designing machine learning solutions to solve business problems, such as:
o How can we surface relevant results for this search?
o How can we show users personalized results in real time?
o 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
Skills and experience
* Significant experience (3+ years) working as a Data Scientist, with a 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 & MLOps.
* Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch.
* Collaborative and humble team player with the ability to work with multi-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 & 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 & Mental Wellbeing: PMI and cash plan healthcare, subsidized counseling, cycle to work scheme, Employee Assistance Program, Mental Health First Aiders.
* Work/Life Balance: 25 days annual leave, impact hours, paid volunteering leave, sabbatical after 5 years.
* Flexible Working: hybrid model with options for Flex, Office Based, and Remote (role-dependent), dog-friendly offices, work abroad options.
* Family Life: Paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.
* Learn + Grow: budgets for conferences and learning, mentorship programs.
* Your Future: Life Insurance, pension matching.
* Depop Extras: Free shipping on UK sales, milestones celebrations.
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