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Knowledge Engineering Jobs in California (NOW HIRING)

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

Systems Engineer

El Cajon, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Data Engineer, Knowledge Graphs

San Francisco, CA · On-site

$134K - $162K/yr

This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and ...

This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and ...

Systems Engineer

San Diego, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

Rancho Santa Fe, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

Cardiff By The Sea, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and ...

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Knowledge Engineering information

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a Knowledge Engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.
What are popular job titles related to Knowledge Engineering jobs in California? For Knowledge Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in California look for? The top searched job categories for Knowledge Engineering jobs in California are:
What cities in California are hiring for Knowledge Engineering jobs? Cities in California with the most Knowledge Engineering job openings:
Infographic showing various Knowledge Engineering job openings in California as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Executive Assistant I

Other

Posted 28 days ago


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers


Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Performs advanced, diversified and confidential administrative duties requiring broad and comprehensive experience, skill and knowledge of organizational policies and practices.
Responsibilities
Prepares correspondence, reports, etc. Screens telephone calls and visitors and resolves routine and
complex inquiries. Schedules appointments, meetings and travel itineraries, and coordinate related arrangements. Works with marketing and knowledge engineering to execute price list updates.
Requires thorough knowledge of company operations, policies and procedures.
Qualifications
3 years relevant experience.
Fluent in Microsoft Office application suite.
Experience with enterprise software such as Oracle or SAP is preferred.
Requires complete understanding of general and technical aspects of job.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

What Keysight Technologies employees say

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