ML / AI Jobs in United States
There are 4,266 open ML / AI jobs in United States on freehire right now. 785 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 | $190,850 | $223,000 | $256,500 | 1,034 |
| 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 27%
How the work is done
- Remote 695 · 16%
- Hybrid 531 · 12%
- Onsite 383 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,216
- 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
Staff Machine Learning Engineer
Builds and deploys AI models for autonomous transport platforms, focusing on robotics, sensor fusion, and edge deployment to turn real-world driving data into reliable vehicle control.
Staff Applied Machine Learning Engineer
Designs, builds, and deploys secure machine learning models and algorithms for high-impact projects, focusing on knowledge graphs and entity detection within enterprise systems.
Senior Machine Learning Engineer
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge optimization in real-world industrial settings.
W2 Contract || AI/ML Architect || Phoenix, AZ Onsite
AI/ML Architect (onsite in Phoenix, AZ) responsible for designing and integrating AI-driven enterprise application architectures, leading AI solution implementations, and collaborating with development teams using AI models and frameworks.
Senior Machine Learning Engineer
Builds AI models for autonomous transport robots, focusing on trajectory planning, multimodal perception, and edge deployment for real-world industrial use.
Senior Machine Learning Engineer
Senior ML Engineer building optimization applications at ServiceNow — designing algorithms, data pipelines, and AI-agent-directed development for scheduling and resource-allocation products using Python at scale.
Software Engineer III | AI/ML
Develops and maintains cybersecurity software for real-time threat detection and network visibility, primarily using Go, Python, and AWS.
Machine Learning Engineer
Build and deploy ML models for Robinhood’s core ranking, recommendation, and personalization systems using PyTorch, XGBoost, and distributed frameworks like Spark and Kubernetes.
Staff Machine Learning Engineer, AI R&D
Build and deploy AI models for personalization, search, and fraud detection at a large fintech platform, using modern ML techniques like LLMs and agentic workflows.
AI/ML Integration Specialist - ACWS
Designs and integrates AI/ML solutions for Army environments, focusing on productivity, automation, search, analytics, and decision support while ensuring compliance, security, and operational alignment.
Staff Machine Learning Engineer, Emergency Trajectory Models
Lead the technical direction and delivery of a learned emergency trajectory model for autonomous vehicle evasive steering and emergency braking, using Python, PyTorch, behavior cloning, and reinforcement learning.
Sr. AI/ML Engineer
This role involves developing and scaling an AI-assisted silicon design framework using agentic ecosystems, RAG, and LLM orchestration. The engineer will build production-ready AI workflows to automate and optimize the silicon IP development lifecycle.
AI/Machine Learning Engineer
The AI/Machine Learning Engineer will design and implement agentic workflows using LLMs, integrating them with APIs, enterprise data, and mission platforms. The role focuses on ensuring these AI systems are secure, compliant, and reliable in production environments.
Machine Learning Engineer
Machine Learning Engineer at FloVision Solutions designing, developing, and optimizing computer vision models and deep learning capabilities. Work across the ML lifecycle from data collection to deployment, using Python, PyTorch/TensorFlow, and other ML libraries.