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 Operations Engineer (Remote)
Build and deploy AI/ML models and MLOps pipelines for government AI projects, integrating generative AI into scalable web applications and collaborating with Army stakeholders.
Machine Learning System Software Engineer
Develop low-power, high-performance AI system software for Apple’s Neural Engine, optimizing ML models for devices like Vision Pro and iPhone.
Senior Software Engineer, AI/ML GenAI, Core
Build and deploy GenAI models and ML infrastructure at scale for Google’s core products, writing Python/C++ code and evaluating tradeoffs in large-scale systems.
Senior Engineering Program Manager - AI/ML, Apple Services Engineering
Drive end-to-end delivery of ML/GenAI features for Apple’s media products, coordinating cross-functional teams to ship large-scale AI programs millions of users rely on.
Machine Learning Engineer
Builds and deploys machine learning models to optimize mobile ad campaigns, balancing advertiser performance with business goals using statistical modeling and experimentation.
Staff Machine Learning Engineer - Ads Auction
Designs and optimizes Apple Ads’ auction-based ad delivery system using ML and auction theory to balance relevance, revenue, and user trust at global scale.
(USA) Senior, Machine Learning Engineer
Design and build scalable ML systems to solve complex business problems at Walmart, collaborating with teams to implement, test, and maintain models and pipelines.
LLM Backend Engineer Graduate (Applied Machine Learning) - 2027 Start
Build and optimize backend services for a large-model platform, implementing cloud-native features like service mesh and high-availability patterns for multimodal LLM inference.
ML Engineer: Python, Cloud Pipelines & Impact
Build and deploy ML models in Python and SQL, maintain cloud pipelines, and monitor performance for a revenue-management AI product.
AI/ML Engineer & Data Management Specialist (Journeyman)
Develops AI/ML models and manages data pipelines to support low-observability aircraft sustainment for the U.S. Navy at NAS Patuxent River.
Senior Engineer - Machine Learning
Senior ML engineer at a commercial real-estate loan servicer building generative-AI tools to automate workflows and improve decision-making in CRE operations.
Machine Learning Engineering Manager - Ads Recommendations
Lead a team building Apple Ads’ next-gen ML-powered recommendation engine using GenAI and agentic approaches to optimize advertiser campaign performance while ensuring privacy compliance.
AI/ML architect
Design and implement scalable ML pipelines and agentic AI systems, from data ingestion to production deployment, using Python and MLOps tools.
Principal AI/ML Engineer
Builds and scales AI systems for MLS, including semantic layers, knowledge graphs, and LLM-powered applications that power fan intelligence and personalization.
AI/ML Engineer
Build and deploy AI/ML models and LLM workflows to automate customer interactions, predictive analytics, and real-time decisioning for enterprise systems.