Startups · AI

Staff+ Software Engineer, VectorDB

Anthropic · New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA · On-site

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About Anthropic

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.

About the role

Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale
  • Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search
  • Experience with search relevance and ranking
  • Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code
  • Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements
  • A track record of independently scoping and delivering ambiguous, multi-quarter technical projects
More about this role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors.

You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves.

The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving,...

Read the full posting on Anthropic's site ↗

Software Engineering - Infrastructure

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