ML / AI Jobs in United States
There are 4,332 open ML / AI jobs in United States on freehire right now. 793 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 | $223,200 | $258,000 | 1,021 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 78%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 705 · 16%
- Hybrid 536 · 12%
- Onsite 377 · 9%
Visa sponsorship offered in 64% of the 1,033 postings that state a position on it.
Seniority
- Senior 1,235
- Staff 471
- Lead 222
- Principal 210
- Intern 114
- C-level 58
Who is hiring
- 1000+ employees 1,201
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 104
- 201-500 employees 27
- 1-10 employees 5
Machine Learning Platform Engineer
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
FinOps AI / ML Engineer Assoc Director
Build and deploy AI/ML models to optimize cloud costs for enterprises using FinOps principles across AWS, Azure, and Google Cloud.
FinOps AI / ML Engineer Manager
Lead a team of AI/ML engineers to build FinOps automation and predictive models that optimize cloud spend for enterprise clients using AWS, Azure, and GCP.
Software Engineer, On-Device Machine Learning
Build Google’s next-gen on-device AI framework (LiteRT) to deploy ML models efficiently across Android, Chrome, iOS, and embedded systems with GPU/NPU acceleration.
Machine Learning Engineer / MLOps Engineer
Build and maintain the automated infrastructure that deploys, monitors, and scales machine-learning models for a large online betting platform.
Senior AI/ML Engineer
Build and deploy AI systems that power Sigma’s analytics platform, including recommendations, natural language interfaces, and agentic workflows for enterprise data exploration.
Staff AI/ML Engineer
Build and deploy AI/ML systems that power Sigma’s analytics platform, enabling users to explore data, build apps, and automate workflows with natural language and agentic tools.
AI/ML Research Scientist
Research and prototype AI/ML-driven analytics to speed up high-fidelity simulations, using PyTorch/TensorFlow and optimization techniques in a Linux-based environment.
Machine Learning Engineer
Build and maintain AI-driven trading models and data pipelines for a quantitative hedge fund, translating research into production systems.
Technical Lead Manager, Machine Learning (Remote)
Lead a team of data scientists building production ML models for last-mile logistics, including route optimization, forecasting, and delivery success prediction using Python and cloud tools.
Senior Machine Learning Operations Engineer (Remote)
Build and scale MLOps infrastructure and pipelines to deploy, monitor, and optimize AI/ML models that power Veho’s logistics network and pricing systems for ecommerce brands.
Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
Senior Machine Learning (ML) Ops Engineer
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Applied Artificial Intelligence/Machine Learning Engineer
Build and deploy AI systems that turn satellite imagery into actionable insights using computer vision and agentic LLM workflows, with a focus on geospatial data pipelines and model evaluation.