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Vector Database Job Jobs in California (NOW HIRING)

We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search ...

... vector databases, embedding storage, or adjacent systems (Redis, Elasticsearch, Kafka) relevant to AI/ML workloads in regulated industries • Background building or leading a database engineering ...

Senior Data Engineer

San Francisco, CA · On-site

$160K - $230K/yr

Build and maintain embedding and vector database pipelines that feed Kiddom's AI-powered content features as they scale * Work in Git-based workflows - treating data artifacts with the same rigor as ...

AI Engineer

Pleasanton, CA · On-site

$100K - $145K/yr

Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies. * Build scalable clinical document ...

Senior Data Engineer, AI Platform

San Jose, CA · On-site

$124K - $168K/yr

Familiarity with vector databases and ANN search systems * Experience in data systems for AI platforms or ML infrastructure * Background in search, recommendation systems, or information retrieval ...

Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar. * Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes. * Exposure to ...

... vector database integrations Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy Drive the design, deployment, and ...

... vector database integrations Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy Drive the design, deployment, and ...

Have experience with vector databases and semantic search technologies * Have healthcare, pharmacy, or health tech experience * Have worked in a startup or other fast-paced environment Technologies ...

AI Technical Lead

Los Angeles, CA · On-site

$180 - $240/hr

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations. * Implement strict evaluation and observability ...

AI Technical Lead

Irvine, CA · On-site

$180 - $280/hr

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations. * Implement strict evaluation and observability ...

Showing results 41-60

Vector Database Job information

What can you do with a vector database?

A vector database used in a vector database job stores and manages high-dimensional data for tasks like similarity search, recommendation systems, and machine learning applications. It enables efficient retrieval of related data points based on vector representations, often requiring knowledge of data indexing and query optimization. Working with such databases involves skills in data modeling, algorithms, and sometimes programming in languages like Python or C++.

What job categories do people searching Vector Database Job jobs in California look for?

The top searched job categories for Vector Database Job jobs in California are:

What cities in California are hiring for Vector Database Job jobs?

Cities in California with the most Vector Database Job job openings:

Infographic showing various Vector Database Job job openings in California as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Software Engineer, Backend

Exa

San Francisco, CA • On-site

$180K - $350K/yr

Full-time

Medical, Dental, Vision

Re-posted 11 days ago


Job description

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests.
Desired Experience
  • You have experience writing and maintaining high throughput, low latency systems
  • You can build data processing pipelines that deal with millions of documents per day
  • You're comfortable optimizing a system to an exceptional degree
  • You care about the problem of finding high quality information and recognize how important this is for the world
  • Plus: Experience in some high performance language (C++, Rust, etc.)

Example Projects
  • Recreate Google-level keyword search over 10 billion pages in 1 month
  • Build a state-of-the-art crawling system that works optimally for any website
  • Build a custom vector database that runs over a billion vectors in under 100ms

Logistics
  • Location: This is an in-person opportunity in San Francisco.
  • Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
  • Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.

Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.