About the job
Join Perplexity as a Search Machine Learning Engineer Intern and contribute to the development of cutting-edge search technologies focused on retrieval and ranking. Collaborate with seasoned engineers to enhance search quality, experiment with innovative models, and deploy features that significantly affect user interactions with information discovery.
Our internship program spans 12 to 24 weeks, requiring full-time, in-person attendance at our Belgrade office.
Key Responsibilities:
Participate in experiments aimed at enhancing search quality through advanced models, optimized data utilization, and effective evaluation tools, under the mentorship of senior engineers.
Design and develop components of our search platform and model stack, including retrieval, ranking, and classification models.
Train and evaluate models, including those based on LLM approaches, for various tasks related to retrieval, ranking, and classification.
Assist in the deployment and monitoring of search and ranking models to ensure scalability and performance.
Contribute to the development and iteration of RAG pipelines for grounding and answer generation.
Collaborate with Data, AI, Infrastructure, and Product teams to quickly implement improvements while learning best practices in production machine learning.

