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Data Engineer-Machine Learning - 2

IBM

  • United States
  • Posted yesterday
  • Full-time
  • Hybrid

Summary written by USA Jobs 24 from IBM's advert and our data on 16,766 current US jobs. How we check every job

At a glance

IBM is hiring a Data Engineer-Machine Learning - 2 in United States. It is a full-time hybrid role in Data, AI & Analytics. The description mentions Machine learning. IBM has 141 other openings in the US. Across all employers on USA Jobs 24 there are 1,787 Data & AI openings in the US today; the typical one asks for 5 years and advertises about $205,000 a year at the midpoint.

Machine learning

How the pay compares

IBM has not published pay for this job, or we could not find it in the advert. Of the 1,787 data & AI jobs across the US on USA Jobs 24, 69% show pay, and the typical yearly midpoint among them is $205,000. That gives you a fair starting point when the subject comes up.

Skills in this advert

How often each skill named in this advert appears across the 1,787 data & AI jobs we list today.

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Before you apply

  1. Hybrid. Ask how many days a week you would be expected in the office.
  2. Resume. The advert's own words include Machine learning. Use them wherever they are true for you.

Apply only on IBM's own site, and never pay anyone for a job. Our before-you-apply checklist covers pay, offers and spotting scams.

About hiring at IBM

IBM has 142 openings on USA Jobs 24 today across 10 states. Most are in software & IT (90), data & AI (13) and hardware & chips (9). The biggest locations are Poughkeepsie, NY (15), Austin, TX (8) and New York, NY (7). 11% of them are remote, 27% are open to entry-level candidates and none shows pay. We collect IBM's jobs every day straight from its own careers system (IBM Careers), never from job boards or agencies.

See all 142 IBM jobs

USA Jobs 24 found this job on IBM's official careers site on November 14, 2026 and checked it again November 14, 5:17 AM ET. IBM will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.

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