ML / AI Jobs in United States
There are 4,264 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 | $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 38%
- deep-learning 27%
- tensorflow 27%
How the work is done
- Remote 696 · 16%
- Hybrid 531 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,215
- Staff 467
- Lead 215
- Principal 206
- Intern 105
- C-level 59
Who is hiring
- 1000+ employees 1,181
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Staff Machine Learning, GAI Search Relevance - Moveworks
Develops and optimizes search relevance algorithms for a question-answering platform, focusing on ranking features, semantic text understanding, and improving retrieval accuracy from diverse knowledge sources.
Senior Machine Learning Engineer, GAI Search Relevance - Moveworks
A Senior ML Engineer improves a search-based Q&A platform by developing ranking features, optimizing retrieval, and addressing challenges like semantic gaps and data sparsity using modern IR and NLP techniques.
Senior Machine Learning Engineer, GAI Search Platform - Moveworks
Develops AI-driven search platforms for enterprise question-answering, integrating LLMs with traditional search/relevance tech to improve conversational search systems for millions of users.
Postdoc: Machine Learning Downscaling
The Jet Propulsion Laboratory is seeking a postdoctoral researcher to focus on machine learning downscaling techniques.
Amazon Sr. Manager - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
Leads hardware design and optimization for AWS cloud-scale ML acceleration platforms (e.g., Inferentia), focusing on static timing analysis to improve performance, cost, and reliability at massive scale.
Machine Learning Engineering Manager
Lead a team to build and deploy production-grade ML models for real-time e-commerce and payments systems, driving commercial outcomes at scale.
Sr Machine Learning Engineer
Designs and deploys AI/ML solutions (including generative AI, agentic systems, and RAG) for Disney’s immersive digital experiences, focusing on scalability, reliability, and Responsible AI frameworks.
AI/ML Product Manager
Lead AI/ML product strategy and roadmap for Vanguard, defining features and guiding cross-functional teams to deliver scalable, client-first solutions.
Machine Learning Engineer
Builds and deploys production-ready AI/ML systems (text search, audio/video) for business applications like revenue management and paid search, using statistical modeling, LLMs, and cloud tools.
Machine Learning Engineer
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
Machine Learning Engineer II
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
Research Fellow - Deep Learning
Site: Massachusetts Eye and Ear Infirmary Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our…
Senior AI ML Engineer
Senior AI/ML Engineer designing, developing, deploying, and supporting scalable ML solutions—including LLM and agentic workflow use cases—in cloud environments with production-grade MLOps practices for a healthcare system.
Machine Learning Deployment PM
On-site owner's representative project manager overseeing ML compute infrastructure (racks, chips, GPUs) integration through data center construction, commissioning, and handover in Oklahoma.