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 | $191,800 | $223,489 | $258,438 | 1,023 |
| 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
Machine Learning Engineer - Health AIML
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
Machine Learning Engineer - Health AIML
Build and tune ML models for Apple’s Health AI team, applying deep learning and generative AI to health-focused products that impact millions of users.
AI and Machine Learning Engineer
Develops and optimizes AI/ML models and HPC infrastructure for HPE’s high-performance computing systems, focusing on GPU server performance, distributed deep learning, and benchmarking (e.g., NCCL, AI workloads).
AI & Machine Learning Engineer I
Build and deploy ML models for customer growth, retention, and personalization at a cybersecurity and digital-safety company using Python, SQL, and cloud platforms.
Machine Learning Scientist, Pretraining
Research and develop large-scale deep learning models for biomolecular design, focusing on pretraining techniques in protein engineering using PyTorch or JAX.
Staff Machine Learning Engineer, ML Acceleration (Remote)
Lead a team to optimize and accelerate ML model training for autonomous vehicles, using PyTorch/JAX and distributed systems to cut development cycles and enable rapid hot-patching.
Staff ML Engineer, Search AI Generated Content Quality
Staff ML Engineer builds AI-generated content quality frameworks and agentic loops to ensure factual, fresh, and engaging content for Google’s proactive surfaces like Discover and Notifications.
Software Engineer III, AI/ML, Search
Develops AI/ML-powered search systems at Google, tackling large-scale information retrieval, distributed computing, and system design to improve global search accessibility and performance.
Staff Software Engineer, Data Cloud Applied Machine Learning
Builds and scales AI platforms for Rippling’s unified workforce data system, focusing on schema retrieval, query planning, and agent harnesses for intelligent HR/IT/Finance workflows.
AI/ML Architect
Design and govern enterprise-scale AI/ML pipelines for the VA, ensuring responsible deployment of healthcare and benefits systems while aligning with federal AI policy and standards.
Senior Artificial Intelligence/Machine Learning Engineer
Senior AI/ML engineer builds and automates enterprise GenAI and agentic platforms using Python, Kubernetes, CI/CD, and cloud-native tooling to accelerate AI solution delivery.
Senior Machine Learning Engineer
Designs and deploys ML models and experiments to optimize pricing and business metrics, then presents findings to stakeholders.
Amazon Delivery Consultant - AI/ML, Professional Services - AWS Industries
Design and deploy GenAI/ML solutions on AWS for enterprise customers, guiding them through cloud adoption and best practices.
Amazon Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Design and test next-gen AI chips by co-developing hardware and bare-metal software for AWS Trainium ML instances.
Amazon Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team
Lead a team designing and integrating custom silicon accelerators for AWS’s ML inference chips, ensuring high-performance SOC design and on-time tape-outs.