AI Jobs |
Browse 3,300 AI & ML jobs at 526 companies. Filter the best remote roles by salary, location, and skills.
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Frequently asked questions
Is a career in AI and machine learning worth it?
Yes. AI and machine learning are among the fastest-growing fields in tech. Companies across every industry are hiring ML engineers, research scientists, and AI product specialists to build and ship AI-powered products, and demand for people who can design, train, and deploy models continues to outpace supply.
Is it hard to get an AI/ML job?
It depends on your background. Roles that require deep research experience (published work, a PhD) are competitive, but there's strong demand for practical ML engineering, MLOps, and applied AI roles that value hands-on project experience and solid software engineering skills over academic credentials alone.
What skills are needed for AI and machine learning jobs?
Most AI/ML roles look for strong Python skills, a solid grasp of machine learning fundamentals (statistics, linear algebra, model evaluation), and hands-on experience with frameworks like PyTorch or TensorFlow. Many roles also value experience with LLMs, data pipelines, cloud infrastructure, and the ability to fine-tune and deploy models in production.
How do I get a job in AI or machine learning?
Build a portfolio of real projects, not just tutorials, and get comfortable deploying models end-to-end rather than only training them. Applying directly to verified job postings, like the ones listed here, and tailoring your resume to the specific skills each posting asks for will get you further than mass-applying.
What are the most in-demand AI skills right now?
1. Go: 1014 jobs. 2. Python: 776 jobs. 3. Excel: 500 jobs.
What are the most common AI job roles?
1. Software Engineer: 339 jobs. 2. Account Executive: 179 jobs. 3. Product Manager: 100 jobs.
What cities have the most AI jobs?
1. United States: 1796 jobs. 2. California: 657 jobs. 3. San Francisco, CA: 415 jobs.