ML / AI Jobs in United States
There are 4,348 open ML / AI jobs in United States on freehire right now. 787 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 | $191,800 | $223,489 | $258,438 | 1,023 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 91%
- ai 78%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 710 · 16%
- Hybrid 537 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 64% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 472
- Lead 223
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,198
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Staff Machine Learning Engineer
Build and deploy secure, enterprise-grade AI models for regulated industries, integrating them into mission-critical workflows to enhance decision-making and operational efficiency.
Artificial Intelligence and Machine Learning
Build and maintain AI/ML models for AML, sanctions screening, and financial crime detection using Python and SQL, while ensuring regulatory compliance and explainability.
Deep Learning Researcher
Research and build advanced deep learning models to solve complex quantitative finance problems using Python and large datasets.
Lead GenAI/ML Engineer — AI-Driven Backend
Lead backend engineer building and optimizing AI-driven services in Python/Java, mentoring teams, and shaping GenAI strategy for scalable automation and analytics.
Machine Learning Engineer
Build and deploy ML systems for an AI-native productivity suite, including LLM-based agents, search ranking, and proactive suggestions.
Machine Learning Ops Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Practice Architect II AI/ML
The AI Enhanced Azure Platform Practice Architect II designs and implements AI and DevOps solutions for clients, leading projects, automating processes, and advising on cloud and AI initiatives using Azure services like OpenAI and Machine Learning.
Staff Machine Learning Engineer, Scene Generation (Remote)
Lead a team building neural rendering and generative models to simulate camera, LiDAR, and radar data for autonomous truck perception training and validation.
Machine Learning Engineer
Build, train, and deploy AI/ML models for defense and national security use cases using Python, TensorFlow/PyTorch, and deep learning.
Senior Computer Vision and Machine Learning Engineer
Senior engineer building real-time computer vision and ML systems for an autonomous anti-drone turret, integrating CV/ML with hardware and optimizing for military-grade performance.
ML Engineer with Dataiku
Build and deploy scalable data pipelines and ML models using Dataiku DSS, integrating with cloud platforms like Azure, AWS, or GCP.
Machine Learning Engineer, Motion Planning, Self-Driving
Develop machine learning models for self-driving car motion planning using Python, deep learning frameworks, and C++, and deploy them to Tesla's vehicle fleet.
Senior Machine Learning (ML) Engineer (AI Insurtech)
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.