Career field
AI & Machine Learning Jobs in the USA
AI and machine learning roles build systems that learn from data: recommendation engines, fraud detection, search ranking, speech and image recognition, and applications built on large language models. The field spans research scientists who develop new methods, machine learning engineers who train, deploy and monitor models in production, and applied AI engineers who integrate existing models into products. A growing number of jobs focus on evaluation, data labeling quality, AI safety, and governance as companies put models in front of customers. Most technical roles expect strong Python, a working knowledge of statistics and linear algebra, and experience with frameworks such as PyTorch. Research positions often prefer a graduate degree, while engineering roles weigh shipped projects and software skills more heavily. Because the field moves quickly, titles are inconsistent: one company's AI engineer is another's ML engineer, so read the responsibilities rather than the title. The live listings below pull current openings across these titles.
Updated
Latest ai & machine learning job openings
Common ai & machine learning job titles
Select a title to search current openings.
Skills employers ask for
Skills that appear often in postings for this field. Check each posting for its exact requirements.
- Python
- PyTorch or TensorFlow
- Statistics and linear algebra
- Model evaluation and error analysis
- Data pipelines and feature engineering
- Working with LLM APIs and retrieval
- Deploying models (containers, cloud services)
- Experiment tracking
- Responsible AI and bias testing
- Reading research papers
AI & Machine Learning pay: how to check what a job pays
AI roles span a very wide pay range by seniority, employer and location, and published averages are often skewed by a few large companies. Use the employer-stated range in the posting and the BLS Occupational Outlook Handbook entry for computer and information research scientists as a starting point.
We do not publish salary averages of our own. Read the BLS Occupational Outlook Handbook and our salary negotiation guide.
AI & Machine Learning jobs by city
Explore major US job markets, or search remote openings.
Watch out for job scams
Real employers never charge you to apply. Walk away if you see any of these:
- You are asked to pay for training, equipment, a background check or an application fee.
- They send a check and ask you to buy equipment from their vendor or send part of it back.
- The 'job' is receiving money into your account, or packages at home, and forwarding them.
- You get an offer without a real phone or video interview, often after a chat-only exchange.
AI & Machine Learning jobs: frequently asked questions
Do I need a PhD for a machine learning job?
Not for most engineering roles. Research scientist positions at large labs often prefer a PhD, but machine learning engineer and applied AI roles commonly hire people with a bachelor's or master's degree plus strong software and project experience.
Are AI training and data annotation jobs legitimate?
Many are, and several established companies hire contractors to rate and write data for AI models. Be careful with offers that require you to pay a fee, buy software, or deposit money to unlock tasks; that pattern is a common task scam.
What projects help me get an AI job?
End-to-end projects work best: collect or choose a dataset, train or adapt a model, evaluate it honestly, and deploy a small demo. Document what did not work as well as what did. That shows the judgment employers look for.
How is an AI engineer different from a machine learning engineer?
Usage varies, but AI engineer roles often focus on building products on top of existing models, while machine learning engineers more often train and maintain their own models. Read the responsibilities in each posting.
Job search guides
Plain-English guides for job seekers in the US.
- Spot job scamsLearn the warning signs of fake job offers in the US: fake check and equipment scams, pay-to-train schemes, reshipping and task scams, and how to report them to the FTC and IC3.
- US resume guideA practical guide to the American resume: one or two pages, no photo, the sections recruiters expect, how applicant tracking systems read it, and how to tailor it to each job.
- Interview preparationPrepare for phone, video and in-person interviews in the US: research the employer, answer common and behavioral questions with the STAR method, ask good questions and follow up.
- Salary negotiationHow to research fair pay in the US, answer salary expectation questions, compare total compensation and negotiate a job offer politely, with sample wording.
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