ML / AI Jobs in United States
There are 4,346 open ML / AI jobs in United States on freehire right now. 784 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 | $223,200 | $258,000 | 1,021 |
| 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 708 · 16%
- Hybrid 538 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 63% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,243
- Staff 472
- Lead 223
- Principal 209
- Intern 116
- C-level 58
Who is hiring
- 1000+ employees 1,200
- 501-1000 employees 286
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Senior Geospatial Machine Learning Engineer
About the Role Join the Vegetation Modeling team at a mission-driven climate-tech company that uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation…
Senior Machine Learning Engineer, 3D Reconstruction (Remote)
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to generate high-quality annotations for autonomous trucking systems.
Machine Learning Engineer, Simulation Enablement (Remote)
Build and scale Torc Sim, a simulation platform for autonomous trucking models, enabling replay, evaluation, and visualization of perception and behavior ML systems at scale.
Senior AI/ML Software Developer (req-278) with Security Clearance
Build and deploy AI/ML models for government contracts with a focus on security-cleared software development and operational excellence.
AI/ML Solution Architect – Generative AI & Agentic AI
AI/ML Solution Architect – Generative AI & Agentic AI - Fulltime Domain: Healthcare & Life Sciences | Generative AI | Agentic AI | Machine Learning Experience: 10–15 years with strong AI/ML Architecture and AWS…
Machine Learning Engineering Manager
Lead a team building real-time computer vision and ML systems for an autonomous anti-drone turret, managing engineers while contributing hands-on to detection, tracking, and classification algorithms.
Chief Computer Vision/Machine Learning Engineer
Lead the architecture and technical strategy for real-time drone detection, tracking, and classification using computer vision and ML in an autonomous anti-drone gun turret system.
AI/ML Governance Lead - Vice President
Lead AI/ML governance at a major bank: define policies, controls, and tooling to ensure responsible use of AI in a regulated environment and produce executive-ready reports for audits and regulators.
Sr Lead Software Engineer - AWS - Lead AI/ML Platform Engineer
Lead the design and build of JPMorgan’s global AI/ML deployment platform on AWS, owning control plane, APIs, and multi-region infrastructure that powers model deployments at scale.
Senior Vice President, AI / Machine Learning Software Engineer
Leads AI/ML system design and deployment for global payments and trade, overseeing scalable ML pipelines and model integrations to optimize financial services.
Engineer 6, Machine Learning, Data & AI
Lead the enterprise-wide transformation of data engineering and AI systems, designing AI-ready architectures, semantic layers, and agentic workflows to enable autonomous data operations and AI-driven decision-making.
AI/ML Architect - Associate Director (Hybrid)
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
Amazon Systems Development Engineer, AI/ML Amazon Dedicated Cloud
Build and maintain secure, high-performance cloud infrastructure for government AI/ML workloads in air-gapped regions, supporting services like SageMaker and Bedrock.
AI/ML Engineer
Design and implement AI/ML models for logistics optimization, predictive analytics, and anomaly detection to support defense supply chain challenges.
Senior Deep Learning Architect, LLM Inference
Architect and optimize LLM inference performance on NVIDIA GPUs, profiling vLLM, SGLang, TRT-LLM, and collaborating with teams to publish benchmark results and drive software advancements.
Machine Learning Engineer II
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Machine Learning Engineer III - Document Intelligence
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.