ML / AI Jobs in United States
There are 4,350 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 | $191,650 | $223,155 | $257,625 | 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 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 712 · 16%
- Hybrid 537 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 63% of the 1,032 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 473
- Lead 223
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,199
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Senior Deep Learning Software Infrastructure Engineer (Remote)
Build and scale deep-learning infrastructure for autonomous-vehicle training on multi-thousand-GPU clusters, improving distributed training, data pipelines, and fault-resilient systems.
Senior AI/ML Engineer
Build AI/ML models and tools for structural engineering, using Python and probabilistic methods to analyze data and optimize designs for real-world applications.
Machine Learning Engineer
Design and deploy scalable AI/ML models and agents to enhance PayPal’s payment and customer experience, using Java, Python, Spark, and cloud platforms.
Senior Staff Machine Learning Engineer
Lead the design and deployment of ML models for PayPal’s payments and fraud-risk systems, using Python, PyTorch/TensorFlow, and cloud platforms like AWS SageMaker.
Staff Machine Learning Engineer
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions…
Staff Platform Engineer (AI/ML Infrastructure)
Leads infrastructure architecture for enterprise-scale generative AI platforms on AWS, Kubernetes, serverless, and containers, ensuring robust deployment and operational foundations.
Machine Learning Engineer
Build and deploy AI/ML models for Apogee Global RMS’s core products, working in a hybrid role based in Piscataway, NJ.
Director of Engineering, Machine Learning & AI Products
Lead a team to build and ship AI-native, production-ready machine learning products for external clients, overseeing the full lifecycle from conception to operational success.
Senior Machine Learning Engineer
Build and deploy ML models to understand creative content for Adobe Stock, Behance, and Firefly using Python, PyTorch/TensorFlow, and collaborate with research and product teams.
Machine Learning Engineer, Adobe Firefly Services
Senior ML engineer building scalable GenAI inference pipelines and APIs that power Adobe’s Firefly, Photoshop, and other creative tools using PyTorch, CUDA, and diffusion models.
Senior ML Engineer - Search & LLM Ops
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Machine Learning and Optimization Engineer
Develop and deploy AI models and optimization algorithms to advance energy systems research, using PyTorch/TensorFlow and high-performance computing in a national lab setting.
Machine Learning Engineer
Build and deploy ML models for Adobe’s creative tools, including generative AI, RAG, and agentic systems, while owning evaluation and MLOps pipelines.
Remote Global AI/ML Engineer - i18n & Backend
Builds backend services and AI-driven localization pipelines using RAG/GraphRAG and LangChain/LangGraph, deploying on Azure, AWS, or GCP to support global product rollouts.
Global AI/ML Backend Engineer (Remote)
Build and scale AI-driven backend services in Python/Node.js/TypeScript, integrating LLM capabilities and globalization best practices for a next-gen digital work platform.
Global AI/ML Backend Engineer for i18n & LLM
Builds backend services for AI-driven localization workflows using Python, Node.js, and TypeScript, integrating LLMs to improve translation quality on Omnissa's digital work platform.