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
Manager, Machine Learning Advanced Analytics
Build and deploy ML/AI models to turn large-scale data into actionable insights for marketing, supply chain, and finance using Python, R, and SQL.
Manager, Machine Learning Operations
Lead ML operations to turn large-scale data into actionable insights across marketing, finance, and supply chain using Python, R, and SQL.
Senior Manager, Machine Learning Operations
Lead MLOps at Coca-Cola, deploying and scaling ML models on Azure, automating pipelines, and mentoring engineers to turn data into production-grade insights.
Senior Director, Machine Learning Advanced Analytics
Lead AI/ML teams to build end-to-end analytics solutions, translating business needs into production-grade models using Python, R, and Azure ML to drive decisions across marketing, supply chain, and finance.
Senior Machine Learning Architect
Design and build end-to-end AI/ML solutions to turn Coca-Cola’s global data into actionable insights for marketing, supply chain, finance and innovation teams using Python, Azure ML and Databricks.
Machine Learning Architect
Design and deploy scalable ML systems on Azure, automating pipelines with GitHub Actions and Kubernetes to turn data into production-grade models for a global beverage leader.
Machine learning Engineer
Build and scale production ML/AI systems, lead internal AI product development, and present technical work at conferences.
Computer Vision Engineer - Geospatial AI for Infrastructure
Build and deploy computer-vision models for geospatial infrastructure analysis using Python, classical CV/ML, and VLM/LLM integrations.
Sr. Engineer 2- Machine Learning
Design and build large-scale machine learning applications as a senior engineer, owning the full SDLC from modeling to deployment.
Staff Machine Learning Engineer
Lead the architecture and long-term roadmap for enterprise-scale ML/AI and generative AI systems, defining platforms for building, deploying, and monitoring AI solutions while mentoring engineers and setting engineering standards.
Staff Machine Learning Engineer, Generative AI, Voice & Speech
Lead the architecture and delivery of generative AI voice and audio systems, including LLMs, RAG, and AI agents, in a cloud-native environment while mentoring senior engineers and setting engineering standards.
AI/ML Engineer
Chinese/Mandarin AI/ML Engineer Location: United States Job Type: Full-Time Experience: 0–3 Years Graduation: 2024–2026 Master''''''''s Graduates Key Requirement Chinese / Mandarin Language Proficiency — REQUIRED We…
Machine Learning Engineer, MLOps
Senior ML Engineer builds and maintains MLOps infrastructure to deploy AI/ML and generative AI systems into production, including APIs, vector databases, and RAG pipelines.
Applied AI and Machine Learning Lead, Generative AI
Lead the design and deployment of enterprise-scale generative AI and semantic modeling solutions in Python to automate decisions and workflows for a global bank.
Applied Artificial Intelligence/Machine Learning Associate
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
Software Engineer, AI/ML Solutions
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Applied Artificial Intelligence and Machine Learning Lead
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
AI/ML Solutions Manager of Software Engineering
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.