ML / AI Jobs in United States
There are 4,350 open ML / AI jobs in United States on freehire right now. 789 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 | $191,650 | $223,155 | $257,625 | 1,022 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 91%
- ai 78%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 712 · 16%
- Hybrid 537 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 63% of the 1,032 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 473
- Lead 223
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,199
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Machine Learning and Agentic Systems Engineer
Build agentic systems and ML tooling that automate and accelerate model development, evaluation, and iteration using Python, PyTorch, and AI-native workflows.
Software Engineer III, AI/ML, Keywordless Search Ads
Builds and deploys AI/ML models for Google Ads’ keywordless automation, optimizing ad relevance and targeting at massive scale.
Senior Machine Learning & Autonomy Engineering
Develop machine learning models and autonomy systems for autonomous vehicles in San Diego.
Applied Scientist / Machine Learning Engineer
Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
Machine Learning Engineer
Build and run production ML systems on AWS for a regulated casino analytics platform, owning training, deployment, monitoring, and cost control.
Senior Software Engineer (AI/ML) - Part-time | Remote
Builds AI agent frameworks, designs ML pipelines, and integrates LLMs with backend systems while mentoring best practices.
Deep Learning Software Engineer, TensorRT Performance (Remote)
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
Performance Engineer, Deep Learning and HPC (Remote)
Performance Engineer optimizing deep learning and HPC frameworks on NVIDIA GPUs, automating benchmarks, and analyzing results for marketing and engineering teams.
Senior Deep Learning and Computer Vision Engineer (Remote)
Build and optimize deep-learning models for autonomous-vehicle perception, prediction, and planning using PyTorch/TensorFlow and C++.
Senior Software Engineer - Machine Learning Infrastructure
Build and maintain ML infrastructure for data scientists and engineers, including classical ML and GenAI tooling, on Azure and GCP using Python/Java and Kubernetes.
Senior Software Engineer - Machine Learning Infrastructure
Build and maintain ML infrastructure for data scientists and engineers, including classical ML and GenAI tooling, using Python/Java and cloud platforms like Azure/GCP.
AI/ML Scientist, Planetary Science
Develop AI/ML models for Mars atmospheric modeling, multi-modal data fusion, and autonomous in-situ science to enhance planetary discovery, running models on spacecraft in Mars orbit.
Senior AI/ML Scientist, Planetary Science
Develop AI/ML models for Mars planetary science missions, including weather forecasting, multi-modal data fusion, and autonomous spacecraft science, to be deployed on Mars-orbiting spacecraft.
Generative AI and Machine Learning Engineer
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, using Python, RAG, and agentic architectures.
Senior Deep Learning Frameworks CUDA Software Engineer (Remote)
Build and optimize CUDA features for AI frameworks like PyTorch and TRT-LLM, improving multi-GPU performance and distributed runtime for training and inference workloads.
AI and Machine Learning Power Methodology Engineer
Engineer AI/ML methodologies to improve GPU energy efficiency, using LLMs, RAG pipelines, and data tools to analyze power patterns and optimize chip design.
Senior Deep Learning Algorithm Engineer (Remote)
Senior engineer building and optimizing NVIDIA’s Dynamo inference platform, integrating open-source frameworks like vLLM and TensorRT-LLM to maximize AI throughput and latency.