Machine Learning Research Engineer Intern
PerplexityVisit Perplexity website
Perplexity is an AI-powered answer engine that provides real-time, cited answers and research capabilities.
San Francisco, United States
Funding history
About Perplexity
Private AI company founded in 2022. Its products combine conversational search and research with cited web sources; it also offers developer-facing Search, Agent, Router, and Embeddings APIs.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will improve search quality through models, data, and tools. You will train and optimize large-scale deep-learning retrieval and ranking models, research representation learning, and build RAG pipelines for grounding and answer generation during a full-time, in-person Berlin internship.
Requirements
- Understanding of search and retrieval systems, quality evaluation principles, and metrics
- PyTorch proficiency
- Experience with distributed training and performance optimization
- Knowledge of representation learning, contrastive learning, vector representations, representation fusion, cross-lingual alignment, training data optimization, and evaluation
- Publication record in AI or machine learning conferences or workshops
Responsibilities
- Improve search quality through models, data, and tools
- Train and optimize large-scale deep learning models for retrieval and ranking
- Conduct research in representation learning and multimodal modeling for search and retrieval
- Build and optimize RAG pipelines for grounding and answer generation
