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How AI Job Matching and Personalized Job Recommendations Work

Tap through each step to see how AI job matching typically works.

  1. Fill out your profile in detail

    The more specific you are about your experience, skills, and desired role, the more the matching system has to work with.

  2. Check your recommended jobs feed

    Look at the home screen or a dedicated recommendations tab for a list of job postings the platform has matched to your profile.

  3. Give feedback on jobs you're not interested in

    Marking irrelevant recommendations as "not interested" or dismissing them helps the algorithm refine future suggestions.

  4. Save the recommendations you like

    Bookmark or save postings that catch your interest so you can come back and compare them later.

  5. Why it's useful

    Instead of manually searching through thousands of postings, the system narrows things down to roles that fit your background, saving a lot of search time.

How to Get More Relevant Recommendations

A recommendation feed is only as good as the profile data behind it. Fully filling out your desired role, skills, and work history typically improves match quality more than any other single action.

Also worth checking manual job search

Recommendations won't surface every relevant opening. See our guide to searching job postings efficiently for tips on finding roles the algorithm might miss.

Frequently Asked Questions

How often does the recommended jobs list update?

It typically refreshes when new postings are added or when you update your profile or activity, such as searches and applications.

What if the recommendations feel off-target?

Updating your desired role, key skills, and recent experience with more specific detail usually improves the match quality noticeably.