ML / AI Jobs in United States
There are 4,485 open ML / AI jobs in United States on freehire right now. 1,045 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 | $194,895 | $227,500 | $262,500 | 805 |
| USD | hour | $45 | $70 | $90 | 69 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 95%
- ai 82%
- python 71%
- pytorch 47%
- llm 45%
- cloud 44%
- deep-learning 32%
- tensorflow 31%
How the work is done
- Remote 832 · 19%
- Hybrid 553 · 12%
- Onsite 521 · 12%
Visa sponsorship offered in 56% of the 514 postings that state a position on it.
Seniority
- Senior 1,104
- Staff 441
- Lead 312
- Intern 244
- Principal 202
- C-level 139
Who is hiring
- 1000+ employees 556
- 501-1000 employees 145
- 11-50 employees 67
- 51-200 employees 51
- 201-500 employees 15
- 1-10 employees 4
Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Build and deploy production-grade AI agents that combine LLMs, tool use, and control logic to solve enterprise problems, from design to evaluation and iteration.
Senior / Staff Machine Learning Research Scientist, Agents
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.
Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Build observability, evaluation, and improvement loops for production-grade AI agents, ensuring reliability and performance across enterprise and government use cases.
Machine Learning Engineer, Public Sector
Machine Learning Engineer on Scale AI's Public Sector team, deploying generative AI, LLM agents, and computer vision models into mission-critical government systems (Donovan, Thunderforge). Day to day involves productionizing models, fine-tuning on massive datasets, and building scalable ML infrastructure, primarily in Python with TensorFlow/PyTorch, and requires an active security clearance.
Machine Learning Research Scientist, Evaluations
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Senior Machine Learning Engineer, Public Sector
Senior ML engineer owning end-to-end design and production deployment of LLM-based agentic AI systems for US government/defense missions (Donovan, Thunderforge) — architecture, evaluation benchmarks, and models that work in constrained/classified environments. Core stack: Python, PyTorch/TensorFlow, GenAI/LLMs, reinforcement learning, computer vision.
Staff Machine Learning Engineer, Public Sector
Staff ML Engineer on Scale AI's Public Sector team leads the design and deployment of agentic AI systems for U.S. defense and intelligence customers (e.g., Donovan, Thunderforge), working on geospatial reasoning, retrieval/embeddings, agent memory, and evaluation infrastructure. Requires an active TS security clearance and deep Python/PyTorch production ML experience.
Machine Learning Research Intern (Summer 2027)
Summer 2027 Machine Learning Research Intern at Scale AI, working in San Francisco or New York on frontier-model research such as reinforcement learning, post-training, evaluations, safety/alignment, and synthetic data pipelines, plus improving models in production. Requires current BS/MS/PhD enrollment in ML/DL/NLP and prior research or publications.
