ML / AI Jobs in United States
There are 4,264 open ML / AI jobs in United States on freehire right now. 789 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 | $190,300 | $223,000 | $256,500 | 1,035 |
| USD | hour | $30 | $40 | $60 | 36 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- python 61%
- pytorch 40%
- cloud 38%
- llm 38%
- deep-learning 27%
- tensorflow 27%
How the work is done
- Remote 696 · 16%
- Hybrid 531 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,218
- Staff 466
- Lead 215
- Principal 205
- Intern 105
- C-level 59
Who is hiring
- 1000+ employees 1,181
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Junior Machine Learning Engineer
Junior ML engineer builds and tunes AI models for tax document automation, using Python, PyTorch/TensorFlow, and Azure AI tools in Irvine, CA.
Machine Learning Engineer
Machine Learning Engineer at Deeter Analytics building deep-learning models on market data, working end-to-end from raw data to production models using Python, PyTorch, and GPU infrastructure in a fully remote role.
AI/ML Integration Specialist - ACWS with Security Clearance
The AI/ML Integration Specialist will lead the integration of secure AI solutions like Microsoft Copilot within Army environments to enhance productivity, automation, and decision support. The role focuses on ensuring AI capabilities are compliant, authorized, and mission-aligned.
Lead AI/ML Platform Engineer
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Senior Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning
Ph.D. intern designing and implementing novel computer vision and deep learning methods, collaborating with researchers, and transferring results to product groups using Python, C++, CUDA, and frameworks like PyTorch or TensorFlow.
NVIDIA 2027 Internships: Deep Learning
NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
Embedded AI/ML Developer
Design, develop, and optimize AI/ML embedded software for HP's commercial PCs and connected devices, deploying machine learning models at the edge using C/C++, Python, and frameworks like PyTorch, TensorFlow, ONNX, and TFLite.
Amazon Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
ASIC Physical Design Methodology Engineer defining and optimizing RTL2GDS flows and CAD methodologies for custom ML accelerator chips (Inferentia, Trainium) at Amazon's Annapurna Labs, using TCL and Python to build scalable design flows.
Amazon Sr. Delivery Consultant - AI/ML, AWSI Energy SDT
Design, build, and deploy AI/ML solutions on AWS for energy-sector clients, turning data into business impact while leading teams and advising customers.
AI/ML Software Engineer
Develop, integrate, deploy, and maintain machine learning software solutions for US government missions using Python, Bash, and Linux within a Federal Solutions team.