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
ML Engineer, Platform
Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms…
Senior Machine Learning Engineer
Builds and deploys ML and LLM-powered products for clinical trials — patient recruitment, enrollment forecasting, and study feasibility — using Python, AWS (Athena, Bedrock, SageMaker), dbt, Prefect, Docker, and MLOps/CI-CD practices. Fully remote within the United States.
Head of Applied Machine Learning
Lead applied ML and LLM teams to build ranking, personalization, and curation systems that shape Gametime’s event-discovery experience.
Artificial Intelligence / Machine Learning: Foundation Models - Intern
During this internship, you will conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI . This includes specialized areas like Foundation Model AI…
Machine Learning Scientist, Multimodal AI
Design and deploy multimodal AI models for oncology diagnostics, integrating histopathology imaging, genomics, transcriptomics, and clinical data using PyTorch and AWS.
Artificial Intelligence, Machine Learning, & Data - Summer 2027 Internships
Summer 2027 internship bucket application at Rivian for AI, ML, and data roles: selected students are matched to teams in autonomy, autonomous driving ML, perception, data science, or data engineering. Work centers on Python/C++ and ML frameworks like TensorFlow, PyTorch, and Databricks MLflow.
Machine Learning Engineer, Sr. - Remote
About the Role Our client is seeking a Senior Machine Learning Engineer to build AI products that support clinical research and help accelerate how new therapies reach patients. This role is focused on turning advanced…
Machine Learning Engineer
Machine Learning Engineer Remote Exp: 12+yrs Required Skills: Hands-on engineering resource responsible for converting ML and analytical strategies into repeatable feature-engineering pipelines, ML workflows, model…
Lead AI/ML Engineer
Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. Our multidisciplinary teams use…
Senior AI/ML Engineer (MLOps & Generative AI)
DatamanUSA, LLC is a full-service IT Solutions Company that provides a variety of technical, IT, professional and administrative support services to both State and Federal government agencies. We also support…
Senior Machine Learning Engineer, Static World
Senior engineer on Stack AV's Static World Perception team, building online and offline perception and generative AI algorithms for L4 self-driving trucks — fusing a priori maps, LiDAR, cameras, and GPS into real-time, safety-critical systems. Core stack: deep learning (transformers/diffusion), Python, C++.
Computational Chemistry & AI/ML Scientist
A computational chemistry and AI/ML scientist at Marlabs designs and deploys machine-learning models (graph neural networks, transformers, generative AI) and molecular simulation workflows to accelerate drug discovery and molecular design, working with Python, PyTorch/JAX, and tools like GROMACS and the Schrödinger Suite in cloud/HPC environments.
Machine Learning Research Scientist, Behavior Planning and Prediction
Research and develop machine learning models for autonomous vehicle behavior planning and prediction, deploying solutions on real-world self-driving vehicles using Python and C++.
Machine Learning Research Scientist: Generative Modeling for Planning
Research and develop generative AI models (diffusion, flow-matching) for autonomous vehicle planning, integrating foundation models and reinforcement learning to improve decision-making and real-world deployment.
Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning
Develops advanced generative AI models (e.g., diffusion, flow matching) for autonomous vehicle planning, optimizing for safety, efficiency, and real-world deployment. Focuses on end-to-end model lifecycle, including research, productization, and collaboration with engineering teams.
Senior/Staff Machine Learning Engineer, Sensor Simulation
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Work with Python, PyTorch/TensorFlow/Jax, and collaborate across autonomy and infrastructure teams to improve sensor data realism and utility.