ML / AI Jobs in United States
There are 4,264 open ML / AI jobs in United States on freehire right now. 788 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 | $190,300 | $223,000 | $256,500 | 1,035 |
| 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 697 · 16%
- Hybrid 530 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,219
- Staff 465
- Lead 215
- Principal 205
- 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 Engineer AI/ML
Lead RTL development of AI-enabled RISC-V CPU cores and matrix engines at a semiconductor foundry, covering microarchitecture, vector/matrix datapath design, and verification using SystemVerilog/Verilog.
Senior DFX Software Engineer - Machine Learning
Build high-performance software for silicon testing and debug using LLMs, graph ML, and reinforcement learning to improve yield and failure analysis in AI and compute platforms.
Student Assistant – Machine Learning for ASIC Design
Part-time student assistant role at Brookhaven Lab researching AI/ML methods to accelerate integrated circuit design, deploying ML models into CAD toolchains, and developing robust IC design algorithms on-site in Upton, NY.
Amazon Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference
Build and optimize distributed inference support in the AWS Neuron SDK for custom ML accelerators (Inferentia/Trainium), working across the full stack from PyTorch/JAX frameworks down to hardware-specific kernels and system-level optimizations.
Artificial Intelligence and Machine Learning Manager
Lead an AI/ML team building and deploying machine learning models for search at a specialty insurance distributor, managing the full ML lifecycle from data collection through deployment and monitoring.
Machine Learning Engineer
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
Machine Learning Engineer
This role involves training, testing, and deploying machine learning models to support intelligence community space projects. The engineer will collaborate with cross-functional teams to develop agentic AI solutions using cloud infrastructure and MLOps practices.
Computer Vision Engineer
Develops image analysis tools and GUIs for biological sample imaging, using ML segmentation and scientific computing to support research workflows.
Artificial Intelligence and Machine Learning Manager
Lead a team to design, build, and deploy ML models for search, collaborating with stakeholders to drive AI feature development and improve business outcomes.
Engineering Manager – Machine Learning Engineering
Leads a team developing and deploying AI/ML solutions for aerospace, defense, and government clients, bridging innovation and production execution while managing technical projects, budgets, and team performance.
Machine Learning Engineer
The AI/ML Engineer will design and implement LLM-powered and agent-based workflows to support national security missions. The role involves translating complex user requirements into automated, AI-enabled capabilities while integrating with enterprise data and mission platforms.