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
Software Engineer, Machine Learning Platform
Build and maintain ML infrastructure for protein-design models, including training systems, inference stacks, and design pipelines, to accelerate research and deployment.
Principal Machine Learning Engineer
Principal ML Engineer builds and owns recommendation/search personalization systems for a fitness platform, driving relevance through experimentation and scaling privacy-first ML infrastructure.
Principal Machine Learning Scientist
DISCO (an AI-powered legal/ediscovery software company) is hiring a Principal Machine Learning Scientist to lead and shape its ML research agenda — driving advanced algorithm development, managing large-scale research programs and teams, mentoring researchers, and applying ML to real-world legal-industry problems. Remote within the USA; requires 12–15+ years of ML research experience.
Staff Applied ML Engineer, Federal/National Security
Staff Applied ML Engineer at Red Cell Federal building and deploying production LLM applications, AI agents, eval/fine-tuning pipelines, RAG, and inference systems for federal and national security missions. Requires U.S. citizenship with an active Secret or Top-Secret clearance; remote in the USA with Washington DC/Northern Virginia preferred.
ML Engineer, Retrieval & Grounded Generation
Builds retrieval-augmented generation infrastructure for DEFCON AI's government-cloud platform: embeddings and vector retrieval at scale, LLM integration with cited, grounded outputs, prompt/schema design, model packaging/serving/rollback, and telemetry. Python-centric; US citizenship and an active Secret clearance are required.
Machine Learning Engineering Lead
Senior ML Engineer at Echo Neurotechnologies will design and create ML models for time-series data to develop Brain-Computer Interface solutions for people with disabilities, using Python with TensorFlow or PyTorch frameworks.
Artificial Intelligence/Machine Learning Engineer 1 - (NLP, AWS, PyTorch)
AI/ML Engineer building, training, fine-tuning, and deploying NLP/language models on AWS (SageMaker, Lambda, EC2, S3) to support government customer requirements at Annapolis Junction, MD. Uses PyTorch, TensorFlow, Hugging Face, plus Java/C/C++ full-stack work; TS/SCI clearance with polygraph required.
Machine Learning Engineer
Location: Austin,Texas,United States Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary : Adidev is looking for an adept Machine…
Senior Machine Learning Operations Engineer
Joins Mercury's Machine Learning Platform team to build and operate the production ML lifecycle for fraud/financial-crime risk decisioning: real-time low-latency model inference, deployment with registries and CI/CD, observability/drift detection, and retraining infrastructure. Core stack is Python backend services plus SQL, key-value stores (Redis/DynamoDB), and streaming (Kafka).
Machine Learning Systems Engineer
Build and optimize high-performance systems for large-scale distributed ML model training, focusing on speed, cost, and throughput using PyTorch, CUDA, and Triton.
Principal Machine Learning Engineer, Data Mining
Build and deploy ML models to extract rare, critical driving scenarios from petabytes of sensor data for autonomous vehicle development using PyTorch, multimodal learning, and data mining pipelines.
Principal Machine Learning Operations Engineer
Hands-on principal-level MLOps lead at a healthcare data-analytics company: architects and scales ML and Generative AI infrastructure — CI/CD pipelines, feature/vector stores, model registry, and AWS autoscaling inference — while mentoring senior engineers and setting MLOps standards. Core stack: Python, TensorFlow/PyTorch, Databricks, AWS.
Machine Learning Engineer (AI Enablement)
We advance science so that we all have more time with the people we love. A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need…
Founding ML Engineer, Computer Vision (Object Detection)
First ML engineer at an early-stage marketplace, owning computer vision for fine-grained product identification from photos — designing models, calibration, and serving in production. Core stack: PyTorch/TensorFlow, vision transformers/CNNs, foundation vision models.
AI/ML Engineer
About The Company USAA’s mission is to empower its members to achieve financial security through competitive products, exceptional service, and trusted advice. The organization is committed to serving the military…