ML / AI Jobs in United States
There are 4,347 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 | $191,650 | $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 710 · 16%
- Hybrid 537 · 12%
- Onsite 379 · 9%
Visa sponsorship offered in 63% of the 1,032 postings that state a position on it.
Seniority
- Senior 1,247
- Staff 473
- Lead 223
- Principal 208
- Intern 116
- C-level 58
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
Applied Machine Learning/AI Scientist - Search
Build next-gen search ranking and recommendation systems using deep learning, transformers, and LLMs to personalize product discovery for retailers on a large-scale ecommerce platform.
Applied Artificial Intelligence/Machine Learning Scientist
Build ML models for shipping cost optimization, retailer credit underwriting, and personalized retailer growth tools using Python, XGBoost, and deep learning to power Faire’s wholesale marketplace.
Senior AI/ML Engineer, Life Sciences
Designs and deploys AI/ML models for cancer diagnostics and precision oncology, using deep learning and generative AI to analyze biological and clinical data.
Senior AI/ML Engineer, Life Science
Build and deploy advanced AI/ML models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Applied Artificial Intelligence/Machine Learning Engineer
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Lead Principal Machine Learning Engineer
Lead a team building next-gen AI agent platforms and scalable inference systems on Oracle Cloud Infrastructure, setting technical direction for production-grade autonomous workflows.
Remote ML Engineer (Python) — Flexible Hours & Impact
Design, train, and deploy ML models in production using Python, PyTorch/TensorFlow on Databricks, and build scalable pipelines for global clients.
Health AI ML Engineer — Python & GCP/Vertex AI
Design and build AI/ML applications in Python on Google Cloud/Vertex AI to integrate machine learning into CVS Health products and services.
Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labas
Builds and deploys ML models and AI solutions using TensorFlow, PyTorch, and cloud platforms to solve business problems and enhance products, while implementing MLOps for production monitoring.
Manager, Machine Learning Engineering, Applied Research (Remote)
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Senior AI/ML Lead/ Developer (Remote)
Design and deliver AI-driven analytics and generative solutions for investment banking using Python, PySpark, Azure ML, and modern AI frameworks like LangChain and RAG.
Sr. Gen AI/ML Lead/Developer
Designs and builds generative AI and ML systems for investment banking using Python, PySpark, Azure ML, and frameworks like LangChain and RAG.
Senior Software Engineer, Search Quality, AI/ML
Senior engineer improving Google Search’s ranking and relevance using AI/ML models and algorithms, mentoring junior engineers.