ML / AI Jobs in United States
There are 4,348 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 | $191,800 | $223,489 | $258,438 | 1,023 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- 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 378 · 9%
Visa sponsorship offered in 64% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 472
- Lead 222
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,198
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Staff AI/ML Engineer (Large Language Model)
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Machine Learning Engineer
Design and deploy cutting-edge AI/ML models, including LLMs and SLMs, to power next-gen customer-facing and operational solutions at Cisco’s CX AI Incubation team.
Artificial Intelligence (AI)/Machine learning- Software Engineer 2
Build and deploy AI/ML systems for government missions, including LLM-powered workflows and agent-based automation in secure environments.
Senior Lead Security Architect, AI/ML Platforms
Lead the security architecture for JPMorganChase’s AI/ML platforms, designing controls against threats like prompt injection and data poisoning while guiding secure AI agent development and deployment.
Principal Machine Learning Scientist
Design and build ML models (e.g., House Pricing Index) to generate predictive insights from real-estate and property data using Python, SQL, and cloud tools.
Senior Machine Learning Scientist
Designs and deploys advanced ML models to extract insights from large property datasets, using Python, PyTorch, and cloud platforms to power real-estate intelligence.
Executive Director Machine Learning Engineer-MLOps
Build and deploy scalable ML pipelines, real-time/batch inference systems, and LLM serving stacks for a fintech personalization engine in AWS.
Software Engineer, Machine Learning (SWE II & SWE I)
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Lead Machine Learning Engineer (IC)
Lead the design and productionization of machine learning systems at scale for a major bank, collaborating with data scientists and product teams to build, deploy, and monitor ML models using Python, Scala, or Java.
Senior Machine Learning Perception Engineer - Fallback Driving System
Build and optimize ML perception models (object detection, tracking, prediction) for GM’s fallback autonomy stack using camera, lidar, and radar data to safely bring vehicles to a stop when primary autonomy fails.
Software Engineer (AI/ML)
Develop AI/ML models and software for semiconductor inspection and process control using Python, C++, and deep learning frameworks.
Senior Machine Learning Engineer, AI Studio
Build and deploy AI/ML systems for drug discovery and patient care, including GenAI, RAG, and agents, using Python, cloud platforms, and MLOps/LLMOps pipelines.
Python ML Engineer (LLM Ops) (Remote)
Build and deploy ML and LLM applications in Python for a US healthcare data platform, focusing on production pipelines and NLP solutions on Databricks and AWS.
Principal Security Machine Learning Research Engineer
Develops advanced AI/ML models for cybersecurity threat detection, anomaly profiling, and adversarial robustness; mentors engineers and publishes research on security ML innovations.
AI/Computer Vision Engineer
Build cloud/edge computer-vision models for wildfire detection and environmental monitoring using PyTorch and NVIDIA Jetson, deploying AI in real-world outdoor systems.