Search Machine Learning Engineer Intern

Responsibilities

• Contribute to experiments that improve search quality through better models, data usage, and evaluation tools
• Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models
• Train evaluating models, including LLM-based approaches, for retrieval, ranking, and classification tasks
• 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

Requirements

• Strong foundation in machine learning and statistics
• Coursework or projects related to information retrieval, ranking, or recommender systems
• Experience with Python and common ML frameworks such as PyTorch, TensorFlow, or JAX
• Self-driven, curious, and comfortable working in a fast-paced environment

Preferred Qualifications

• Familiarity with evaluating model quality using offline metrics and/or A/B testing
• Previous experience working on search, recommendation, or NLP
• Experience with Rust