perplexity - Internship - Search Machine Learning Engineer
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Requirements
• Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. • Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. • Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. • Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. • Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
Responsibilities
• Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. • 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 and learn best practices in production ML.
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