Internship - Search Machine Learning Engineer

📋 Description

• Contribute to experiments that improve search quality through better models, data usage, and
• Design and implement components of the search platform and model stack, including retrieval
• Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification
• Support deployment and monitoring of search and ranking models in a scalable and performant way.
• Help build and iterate on RAG pipelines for grounding and answer generation.
• Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and

🎯 Requirements

• Strong foundation in machine learning and statistics, with coursework or projects related to
• Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic
• Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but
• Previous experience (internships, research, or significant projects) working on search
• Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort
• Experience with Rust will be a plus