ML / AI Jobs in United States
There are 4,347 open ML / AI jobs in United States on freehire right now. 787 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 710 · 16%
- Hybrid 537 · 12%
- Onsite 379 · 9%
Visa sponsorship offered in 63% of the 1,032 postings that state a position on it.
Seniority
- Senior 1,247
- Staff 473
- Lead 223
- Principal 208
- Intern 116
- C-level 58
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
Applied AI/ML - Senior Associate
Build and productionize secure, scalable AI/ML and GenAI solutions using Python, LLMs, and agentic frameworks to drive measurable business outcomes at a major bank.
AI/ML Engineer
Design and implement AI/ML solutions—including LLM-powered workflows and agent-based automation—to streamline classified-data analysis and support rapid decision-making for national security missions.
Senior Manager, Machine Learning Platform Engineer
Build and maintain ML infrastructure and data pipelines to operationalize AI models for drug-quality oversight in a regulated healthcare environment, using Python, cloud platforms, and MLOps practices.
Lead Engineer AI/ML - Onsite
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Senior Manager, Machine Learning Platform Engineer
Build and maintain ML and data infrastructure to operationalize AI models for drug quality oversight, enabling proactive risk detection and compliance in a regulated healthcare environment.
Machine Learning Engineer
Design, build, and deploy ML models (neural networks, tree-based) to predict fraud, delinquency, and repayment for merchant loans using Python, PyTorch, and BigQuery.
Sr Staff Machine Learning Engineer - Uber AI Solutions
Build and own ML and backend systems for Uber AI Solutions, driving end-to-end verticals from data infrastructure to production AI models that power global AI teams.
Sr Staff Machine Learning Engineer - Uber AI Solutions
About the role and team Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and…
Amazon AI/ML Specialist Solutions Architect, Payments, AGS US Specialist SA
Design and implement AI/ML solutions for payment systems on AWS, advising customers on cloud architecture and best practices.
Computer Vision Engineer
Build the onboard perception system for an all-electric air taxi, fusing camera, lidar, and radar data to detect obstacles and enable precision landings in real time.
Machine Learning Infrastructure Engineer
Builds and scales ML infrastructure for post-training large language models, focusing on RL environments, compute scheduling, and research tooling to accelerate AI experimentation.
Machine Learning Engineer
Build reinforcement-learning environments to train frontier models, blending research and engineering with Python, PyTorch/JAX, and transformer internals.
Machine Learning Engineer
Build reinforcement-learning environments and reward functions to train frontier AI models, blending research with engineering in a startup setting.
Machine Learning Engineer, Low Level & Kernels Capabilities
Build low-level reinforcement-learning environments targeting hardware kernels (GPU/accelerator, FPGA, vector ISAs) to stress-test frontier AI models and prevent reward hacking.
Amazon Software Development Manager, Machine Learning Accelerators
Lead a team of compiler engineers to design and optimize ML compiler solutions for AWS Neuron, driving hardware bring-up and influencing chip design for Trainium-based ML accelerators.