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Cloud Talent Solution (CTS) Job search is designed to transform
the recruiting and talent acquisition industry by powering your job search and
candidate matching solutions with built-in Machine Learning (ML) algorithms.
The Job search API is designed to be integrated with your existing job search site.
Your site may belong to any of four basic use cases:
Job boards (returns a list of jobs to job seekers)
Career site providers (provides career site services to client companies)
Staffing agencies (provides short- or long-term employees to clients)
Applicant tracking systems (tracks applicants throughout the hiring
process)
Business goals and metrics vary significantly between companies. The CTS Job search
API is designed to be customizable, so you can modify the API's performance based on your needs. The best practices,
implementation guide, and launch checklist documents are intended to guide you
through factors that you need to consider when setting up the API to meet your specific goals.
How the API works
The CTS Job search API enables you to leverage Machine Learning (ML) technology within your own website.
You send a list of jobs and companies to the API, which stores them and indexes them into a
searchable form. It uses a pre-trained ML model with your provided data to return relevant search results.
You can then render the API output to your company site as viewable results. As soon as the Job search API is
integrated with your system your users will begin seeing high quality search results immediately.
Implementing the Job search API
For more information on implementing Job search in your UI, see our
implementation guide.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Job search API Basics (v3)\n\nCloud Talent Solution (CTS) Job search is designed to transform\nthe recruiting and talent acquisition industry by powering your job search and\ncandidate matching solutions with built-in Machine Learning (ML) algorithms.\nThe Job search API is designed to be integrated with your existing job search site.\nYour site may belong to any of four basic use cases:\n\n1. **Job boards** (returns a list of jobs to job seekers)\n2. **Career site providers** (provides career site services to client companies)\n3. **Staffing agencies** (provides short- or long-term employees to clients)\n4. **Applicant tracking systems** (tracks applicants throughout the hiring process)\n\nBusiness goals and metrics vary significantly between companies. The CTS Job search\nAPI is designed to be customizable, so you can modify the API's performance based on your needs. The [best practices](/talent-solution/job-search/v3/docs/best-practices),\n[implementation guide](/talent-solution/job-search/v3/docs/implementation), and [launch checklist](/talent-solution/job-search/v3/docs/best-practices) documents are intended to guide you\nthrough factors that you need to consider when setting up the API to meet your specific goals.\n\nHow the API works\n-----------------\n\nThe CTS Job search API enables you to leverage Machine Learning (ML) technology within your own website.\nYou send a list of jobs and companies to the API, which stores them and indexes them into a\nsearchable form. It uses a pre-trained ML model with your provided data to return relevant search results.\nYou can then render the API output to your company site as viewable results. As soon as the Job search API is\nintegrated with your system your users will begin seeing high quality search results immediately.\n\nImplementing the Job search API\n-------------------------------\n\nFor more information on implementing Job search in your UI, see our\n[implementation guide](/talent-solution/job-search/v3/docs/implementation)."]]