ML / AI Jobs in United States
There are 4,485 open ML / AI jobs in United States on freehire right now. 1,045 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $194,895 | $227,500 | $262,500 | 805 |
| USD | hour | $45 | $70 | $90 | 69 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 95%
- ai 82%
- python 71%
- pytorch 47%
- llm 45%
- cloud 44%
- deep-learning 32%
- tensorflow 31%
How the work is done
- Remote 832 · 19%
- Hybrid 553 · 12%
- Onsite 521 · 12%
Visa sponsorship offered in 56% of the 514 postings that state a position on it.
Seniority
- Senior 1,104
- Staff 441
- Lead 312
- Intern 244
- Principal 202
- C-level 139
Who is hiring
- 1000+ employees 556
- 501-1000 employees 145
- 11-50 employees 67
- 51-200 employees 51
- 201-500 employees 15
- 1-10 employees 4

Machine Learning Engineer
Engineer on Apple's Music ML team, building and running Apple Music's personalization and recommendation services (Home, New, Radio, Personal Mixes): large-scale offline data pipelines, ML model training/inference, and real-time online services, using OOP languages like Java, C++, and Python.
Engineering Manager, Machine Learning
Meta is seeking an Engineering Manager to lead machine learning engineering teams building state-of-the-art recommendation systems at scale. In this role, you will manage teams of ML engineers and technical leaders…
Machine Learning Engineer
Machine Learning Engineer at Accenture Federal Services building, training, deploying, and monitoring production ML models and MLOps pipelines for US federal defense, national security, and civilian missions. Day-to-day work uses Python, ML frameworks (PyTorch, TensorFlow, etc.), Docker/Kubernetes, and cloud ML platforms like SageMaker, Vertex AI, or Azure ML.
Member of Technical Staff, Research Scientist - AI Safety & Security
Research scientist at Plato, an applied AI lab that turns real-world data into simulated environments for training specialized AI agents. You'll design safety benchmarks and environments measuring model self-improvement, reward hacking, sabotage, and deception, then work with engineers to turn them into runnable evaluations for frontier labs.
Machine Learning Engineer (Staff & Principal)
Senior/Staff-to-Principal ML engineer at Tubi (Fox's free streaming service) designing and deploying large-scale recommendation systems that power personalized viewing for 100M+ users. Day to day: building end-to-end ML pipelines (data extraction, training, testing, deployment) and optimizing models at scale using deep learning frameworks like TensorFlow and PyTorch.



Software Engineer, AI/ML Infrastructure
Build and scale LLM infrastructure, RAG systems, and agentic AI for enterprise search and assistants, working with Python/Go/Java.
Senior Applied ML Engineer
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in…
Staff Machine Learning Engineer - Agentic AI
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in…
Staff ML Engineer AI Platform & Agents
ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in…


Senior Machine Learning Engineer
About Weee! Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering…
ML Engineer
ML Engineer at Inspire11, a business and technology consulting firm: design scalable ML infrastructure with CI/CD for model training and deployment, build Generative AI/LLM and RAG solutions, monitor production models, and collaborate with client stakeholders. Requires strong Python/R, cloud (AWS/Azure/GCP), and Docker/Kubernetes skills; onsite at Inspire11 or client locations in the U.S.
VP, Principal AI ML Engineer
Why Bank OZK Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional…
