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Senior Machine Learning Scientist - Search

DEPOP
London
1 month ago
Applications closed

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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:
    • Learning-to-rank models
    • Vector search & embedding models
    • etc.
  • Understand requirements from various partners across the business, designing machine learning solutions to solve business 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

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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