What you'll do

As a Senior Machine Learning Engineer, you will be responsible for pushing search quality forward through models, data, tools, or any other leverage available.

• Relentlessly push search quality forward—through models, data, tools, or any other leverage available
• Architect and build core components of our search platform and model stack
• Train and evaluate retrieval, ranking and classification models, including LLMs
• Deploy models - from boosting to LLMs - in a scalable and performant way
• Build and optimise RAG pipelines for grounding and answer generation
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

What you need

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Proven track record with large-scale search or recommender systems
• Self-driven, with a strong sense of ownership and execution
• Minimum of 5 years of working on search or recsys-related projects

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