ML / AI Jobs in United States
There are 4,335 open ML / AI jobs in United States on freehire right now. 781 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 | $191,850 | $223,489 | $258,656 | 1,022 |
| 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 62%
- 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 1,029 postings that state a position on it.
Seniority
- Senior 1,245
- Staff 472
- Lead 220
- Principal 207
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,194
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Machine Learning & NLP Expert
Design and evaluate cutting-edge AI models for a research initiative, focusing on machine learning and natural language processing tasks using Python and frameworks like PyTorch or TensorFlow.
Senior Staff AI/ML Algorithm Engineer
Designs and deploys AI/ML algorithms for medical devices, analyzing physiological signals and clinical data to improve patient monitoring and disease detection.
AI/ML Governance & Automation Lead -Vice President
Lead AI/ML governance programs at JPMorganChase, streamlining model lifecycles and controls for generative and agentic AI solutions while aligning cross-functional teams and risk partners.
Amazon Sr. Software Development Engineer AI/ML, Inference Model Enablement, AWS Neuron
Optimize and deploy large language models for fast inference on Amazon’s Trainium accelerators using AWS Neuron’s software stack.
Senior Deep Learning Software Engineer, Inference and Model Optimization
Senior engineer optimizing generative AI models (LLMs, diffusion) for inference efficiency using PyTorch, CUDA, TensorRT, and Triton, and deploying them at scale.
Senior Machine Learning Engineer
Build and deploy ML systems that power bird identification tools used by millions, working with large biodiversity datasets and cloud infrastructure.
Staff Machine Learning Engineer, Document & Vision Intelligence
Lead the design and deployment of ML systems that extract structured signals from documents and images to automate business decisions across GEICO’s insurance operations.
Staff Machine Learning Engineer
Build and scale AI-powered identity-security systems using ML models, MLOps, and cloud-native pipelines to automate access decisions and detect anomalies for enterprise customers.
Machine Learning Engineer II
Build and deploy AI/ML models for Yahoo Mail’s personalization and NLP systems, leveraging PyTorch/TensorFlow and cloud-native architectures at massive scale.
Senior Machine Learning Engineer
Build and deploy AI/ML systems that personalize Yahoo Mail for 220M+ users, using NLP, GenAI, and agentic workflows while optimizing for scale and latency.
AI and ML Engineer, Mid
Build and deploy AI/ML models (NLP, LLMs, computer vision) for national security systems, using Python frameworks and GPU programming to enhance decision-making.
Cyber Machine Learning Engineer
Build and deploy AI/ML models to strengthen cybersecurity defenses, automate threat detection, and support cyber investigations using Python, Docker, and SIEM tools.
Senior Machine Learning Engineer - News, Books, and Stocks Team
Designs and deploys ML models for Apple News, Books, and Stocks apps, focusing on text extraction, search, ranking, and recommender systems using Python and deep learning frameworks.
Machine Learning Engineer with Security Clearance
Build ML models to analyze data and support national security initiatives using advanced analytics and machine learning.
Senior Machine Learning Engineer, Search & Knowledge Platforms
Build and deploy large-scale machine learning models to power Siri, Spotlight, and other Apple services, focusing on search relevance, query understanding, and answer generation using LLMs and deep learning frameworks.