Internship - Search Machine Learning EngineerActive$50K
The opportunity
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models,…
What you'll do
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.
What they're looking for
- 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.
