- 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, and ship features that directly impact how users search and discover information
- Internship program: 12 - 24 weeks, full-time, in-person in the London office
- 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
Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projectsSelf-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environmentStrong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systemsExperience with Rust will be a plusPrevious experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not requiredFamiliarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required
#J-18808-Ljbffr
Search Machine Learning Engineer Intern in London employer: Perplexity AI
Perplexity is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth and collaboration, team members are encouraged to push the boundaries of search technology while enjoying competitive compensation and equity options. The company's rapid expansion and backing from leading investors create unique opportunities for meaningful contributions and career advancement.
