ML / AI Jobs in United States
There are 4,262 open ML / AI jobs in United States on freehire right now. 799 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 | $190,600 | $223,000 | $256,500 | 1,033 |
| 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 37%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 693 · 16%
- Hybrid 531 · 12%
- Onsite 383 · 9%
Visa sponsorship offered in 63% of the 1,014 postings that state a position on it.
Seniority
- Senior 1,214
- Staff 466
- Lead 218
- Principal 205
- Intern 104
- C-level 58
Who is hiring
- 1000+ employees 1,182
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
AI/ML Engineer - Secret
AI/ML Engineer developing and integrating LLM, RAG, and agentic-AI capabilities into operational software workflows in a classified defense/government environment requiring a Secret clearance.
Machine Learning Operations Engineer
Build and maintain scalable ML pipelines for training, inference, and analytics in a healthcare platform, using Python, Snowflake, and Azure/AWS while ensuring reliability and observability.
Intern – Data AI/ML Engineering – Plymouth, MN – Summer 2027
An internship supporting AI/ML workflows for Philips’ medical imaging software, focusing on data processing, model validation, and documentation to improve clinical workflows and patient outcomes.
Senior Lead Software Engineer - ML Engineer
Hands-on lead engineer building scalable data and cloud solutions for regulatory model applications using PySpark/Python, Databricks, and AWS on cross-functional teams at JPMorgan Chase.
AI/ML Engineer
Design, develop, deploy, and maintain AI/ML models on AWS GovCloud using SageMaker, Databricks, PySpark, and Delta Lake for federal government programs, ensuring compliance with NIST AI RMF, EO 14110, and FedRAMP standards.
Sr Machine Learning Engineer, Proactive - ML Systems Engineering
Build and integrate machine learning systems that run locally on Apple devices to personalize user experiences and anticipate needs.
Machine Learning Engineer - Recommendation Systems
Builds and optimizes AI-powered recommendation systems for a platform used by 600M monthly users, focusing on ranking algorithms, search, and scalable ML pipelines.