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Knowledge Graph Engineer Jobs in California (NOW HIRING)

TEKsystems c/o Allegis Group

Product Software Engineer

Burbank, CA · On-site

$80 - $81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge graph or graph database experience (Neo4j, Neptune, Stardog, etc.) * Cloud experience ... Product engineering experience in fast-paced, evolving environments * Passion for emerging AI ...

TEKsystems

Product Software Engineer

Burbank, CA

$80 - $81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge graph or graph database experience (Neo4j, Neptune, Stardog, etc.) * Cloud experience (AWS, Azure, or GCP) * Experience integrating across enterprise platforms * Product engineering ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Contribute broadly across the stack, including developer documentation, technical tutorials ... Comfort working with LLMs, AI agents, and knowledge graph or identity resolution systems is a ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Contribute broadly across the stack, including developer documentation, technical tutorials ... Comfort working with LLMs, AI agents, and knowledge graph or identity resolution systems is a ...

Rox

Core Engineering

San Francisco, CA · On-site

The Role We are hiring a Core Engineer to help design and operate the foundational infrastructure ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines

Rox

Core Engineering

San Francisco, CA · On-site

The Role We are hiring a Core Engineer to help design and operate the foundational infrastructure ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines

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Infographic showing various Knowledge Graph Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms

Apple

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there's no telling what you could accomplish.
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Within this organization, our group focuses on web-scale extraction and enrichment, transforming raw web content into structured, high-quality knowledge that powers Apple's intelligent experiences. We design scalable extraction algorithms, develop advanced web data deduplication techniques, and apply machine learning to process trillions of records and petabytes of data. We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified representation of the world knowledge.
We're looking for a Machine Learning Engineer with deep expertise in large-scale data and ML infrastructure. You will build and optimize pipelines that extract, process, and serve data artifacts while advancing the ML frameworks and tooling that underpin Apple's knowledge and search systems.
Description
Join a dynamic team within Apple's Information Intelligence Infrastructure organization that designs, builds, and operates large-scale systems powering search and AI experiences for billions of users. We develop distributed, data-intensive infrastructure that processes web data at global scale, enabling extraction, enrichment, and knowledge graph construction across diverse content such as HTML, PDF, and other unstructured formats.
Minimum Qualifications
Bachelor's degree or higher in Computer Science or related technical field
3+ years of experience in software engineering or ML engineering
Experience with Golang, Java, Scala, or Python
Background in computer science: algorithms, data structures, and distributed systems
Experience working in a cloud-native environment such as AWS
Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.)
Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.)
Experience with machine learning workflows, including feature engineering, training, evaluation, deployment and serving
Preferred Qualifications
Experience with training and fine-tuning large language models
Experience with optimizing ML training and serving performance, including GPU tuning, batch size optimization, and multi-node scheduling
Familiarity with Nvidia TensorRT-LLM, vLLM, Nvidia Triton Server, or similar inference frameworks.
Experience with NLP, information extraction, or web data systems.
Excellent interpersonal skills, able to work independently as well as in a team

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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