AI & Machine Learning Jobs in United States

Yes. Country, company, department, experience, job family, role or city search, publication date and sorting are included in the page URL. Bookmark or share that link to reopen the same filters. Results change as new recruiter posts are published and older public copies expire. The RSS feed lists recent public recruiter posts with their original LinkedIn links.

Use the optional Let’s Learn resource for IT learning and interview preparation, and Resume Review for ATS-style resume feedback against a job description. These tools complement searches for software engineering, Linux, networking, data analyst, HR and payroll jobs; using them does not guarantee an interview or employment.

Browse recruiter-posted software engineer, frontend, backend, full-stack, data analyst, AI and machine learning, cloud, DevOps, cybersecurity, network engineer and technical support roles, alongside IT management, HR and payroll opportunities. Available roles depend on captured and published recruiter posts, not a complete list of employer vacancies.

Use the country and company filters, then search a role, employer or city. Country pages show openings with source-supported locations in United States. A country flag describes the stated job location, not visa sponsorship, citizenship eligibility or permission to work there. Read the original hiring post for eligibility requirements.

Use experience filters for Freshers, Internships, Entry / Junior, Experienced and Senior Experience. Explicit fresher and internship requirements are kept separate from years-based groups. Multiple experience levels and Experience not stated preserve incomplete or overlapping requirements instead of guessing seniority.

Search for remote, hybrid or onsite in the role, company or city search box to find those words in the published summaries. Availability depends on what the recruiter stated. Remote does not automatically mean work from any country; check location, time-zone and work-authorisation restrictions in the source post.

Axein organises captured recruiter hiring posts into opening-level summaries with role, company, location and experience filters. A post with multiple supported positions can produce separate role summaries within one post card. Source review, duplicate checks and community feedback help browsing, while the original LinkedIn post remains the place to confirm details and apply. Axein does not index every LinkedIn post.

Published today counts currently visible unique jobs first published on Axein since midnight in India (IST), using the current filters. Posting-time badges refer to the original recruiter post, not the sync date; estimated dates are labelled. Public copies expire seven days after publication on Axein. Neither date proves a vacancy is still available.

No. AI checks whether a hiring summary is supported by the captured source, separates roles when evidence permits, and helps categorise the requirements. Ambiguous posts can require an administrator decision. Source approval and duplicate checks do not independently verify the employer, recruiter identity or continuing vacancy availability.

Open a job card to visit the original LinkedIn hiring post and follow its application instructions. Confirm the employer, role, location, eligibility and current availability independently. These are external opportunities, not jobs at Axein. Never pay recruitment fees or share sensitive financial information with an unverified contact.

They are community opinions about a post, not employer verification or a guarantee of an available vacancy. Votes can be changed or withdrawn. A functional browser cookie limits repeat votes; clearing it or changing browsers can reset that identity.