ML / AI Jobs in United States
There are 4,332 open ML / AI jobs in United States on freehire right now. 793 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 | $191,850 | $223,344 | $257,625 | 1,022 |
| USD | hour | $30 | $40 | $60 | 36 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 78%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 705 · 16%
- Hybrid 536 · 12%
- Onsite 377 · 9%
Visa sponsorship offered in 64% of the 1,033 postings that state a position on it.
Seniority
- Senior 1,235
- Staff 471
- Lead 222
- Principal 210
- Intern 114
- C-level 58
Who is hiring
- 1000+ employees 1,201
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 104
- 201-500 employees 27
- 1-10 employees 5
Machine Learning Engineer
We are Local Infusion. Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry, because patients deserve better. By providing both…
Machine Learning Engineer, API Multicloud
Build and improve AI systems that help partners adapt OpenAI models in cloud-native environments, focusing on post-training workflows, evaluation, and API integration.
Neuroscience PhD / Computational Neuroscience ML Engineer
About the Role A Y Combinator–backed wearable technology startup is hiring a Computational Neuroscience PhD to own the core inference model that quantifies real-time emotional states from wearable sensor data. This is…
Principal Machine Learning Engineer
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Fall Intern - AI/ML Engineering
Build and train ML models for uranium discovery using AI, working hands-on with the Terranox team in San Francisco.
Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
Lead Applied AI & Machine Learning Engineer
Lead a team building enterprise generative AI and ML systems in Python, from concept to production, while defining semantic standards and ontologies to improve decision-making and automate workflows for internal customers.
Lead Software Engineer - AI/ML Lead Software Engineer
Lead AI/ML engineer at JPMorganChase building secure, scalable ML systems for home lending servicing, including pipelines, inference, monitoring, and MLOps while driving adoption of enterprise AI-assisted engineering practices.
Amazon SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Develops pre-silicon hardware/software co-design for custom ML chips, writing bare-metal software to verify SoC functionality and performance.
Amazon ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
Design and optimize custom ASICs for AWS’s machine-learning servers, focusing on high-performance, power-efficient SystemVerilog RTL and trade-offs between features, power, and area.
AI/ML Software Developer (req-281)
Build and maintain AI applications and data-analysis tools using Python, JavaScript, or Java, collaborating with engineers to deliver solutions for government clients.
Senior AI/ML Software Developer (req-283)
Build and maintain AI applications for government clients using Python/Java/JavaScript, collaborating with engineers to solve data-analysis problems and deliver secure solutions.
Amazon Software Engineer- AI/ML, Amazon Neuron Training
Build and optimize Neuron, AWS’s ML compiler/runtime for training GenAI models on Trainium chips, tuning parallelism and kernels across PyTorch/JAX to maximize throughput.
Amazon Machine Learning Scientist - GenAI, KIT
Build and fine-tune generative AI models and agentic systems to improve AWS services and customer experiences using deep learning and reinforcement learning.
Machine Learning Engineer
Build and deploy ML models and data pipelines in Python for a federal client, using TensorFlow, Scikit-learn, Spark, Kubernetes, and Postgres in a hybrid role near Washington, DC.