Member of Technical Staff (Machine Learning Research Engineer)Posted today
The opportunity
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
What you'll do
Relentlessly push search quality forward: through models, data, tools, or any other leverage available
Architect and build core components of the search platform and model stack
Design, train, and optimize large-scale deep learning models using frameworks: like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models
Conduct advanced research in representation learning, including contrastive: learning, multilingual, and multimodal modeling for search and retrieval
Deploy models: from boosting algorithms to LLMs — in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
What they're looking for
- Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery
- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
- Proven track record with large-scale search or recommender systems
- Strong proficiency with PyTorch, including experience in distributed training: techniques and performance optimization for large models
