ML / AI Jobs in United States
There are 4,348 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 378 · 9%
Visa sponsorship offered in 64% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 472
- Lead 223
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,198
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Senior AI / ML Engineer
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
AI / Machine Learning Engineer
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
AI/ML Engineer
Builds and integrates AI/ML models and LLM APIs into mission-critical software for FAA systems, using Python and other languages to create production-ready tools and workflows.
Machine Learning Engineer
Build and deploy ML models, focusing on computer vision and object detection, using MLOps for tracking and reproducibility.
Machine Learning Engineer, Recommendations
Build and scale ML-powered recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms to personalize user experiences at scale.
Founding Forward-Deployed ML Engineer
Build and deploy medical imaging AI in hospitals, bridging model performance with clinical reliability and integrating models into radiology workflows.
Machine Learning Platform Engineer
Build and maintain the ML platform that deploys, monitors, and scales AI models powering Hadrian’s autonomous factories, using MLflow, Dagster, EKS, and FastAPI.
Senior Machine Learning & Autonomy Engineering
Build and deploy ML models to detect and classify drone threats using RF datasets, DSP, and deep learning; automate data pipelines and improve detection capabilities.
Principal AI/ML Engineer
Lead an agile team building AI/ML and business intelligence solutions for a Federal Regulatory agency using Python, AWS SageMaker, and Power BI.
Amazon Assoc Delivery Cons, AI/ML, A2C ProServe Shared Delivery
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design,…
Amazon Delivery Consultant- AI/ML, WWPS ProServe Delivery Team
Design and deploy scalable AI/ML solutions on AWS for enterprise customers, focusing on generative AI and model fine-tuning to solve business problems and drive cloud adoption.
Senior AI/ML Engineer
Build and deploy AI agents and RAG pipelines to automate IT tasks and improve system resilience using LLMs and agent frameworks.
Postdoctoral Fellow- Machine Learning for Regulatory Genomics, Mostafavi Lab
Develop and apply ML/AI models to predict regulatory genomics functions from DNA sequences, aiming to uncover disease mechanisms and aid drug discovery in a postdoctoral research role.
Director, Product Management - Enterprise AI/ML
Lead AI/ML platform strategy at Capital One, defining vision for generative and agentic AI tools that data scientists and engineers use daily to build and serve models.
Principal Machine Learning Engineer, YM2026PMLE
Lead AI/ML projects at a financial-data platform, building NLP models for text classification and time-series analytics to deliver insights for investment professionals.