About the Role
Pinecone provides the vector database infrastructure that powers next-generation AI search and retrieval-augmented generation (RAG). Join us to solve challenging algorithmic scale challenges.
Key Responsibilities
- Implement approximate nearest neighbor (ANN) search algorithms optimized for memory and GPU.
- Benchmark embedding models and semantic retrieval quality on enterprise datasets.
- Collaborate with platform engineers to optimize distributed indexing in C++ and Go.
Requirements
- Strong foundation in machine learning, vector embeddings, and linear algebra.
- Proficiency in Python and PyTorch / HuggingFace ecosystem.
- Experience deploying ML models to low-latency production endpoints.