ML / AI Jobs in United States
There are 4,485 open ML / AI jobs in United States on freehire right now. 1,045 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 | $194,895 | $227,500 | $262,500 | 805 |
| USD | hour | $45 | $70 | $90 | 69 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 95%
- ai 82%
- python 71%
- pytorch 47%
- llm 45%
- cloud 44%
- deep-learning 32%
- tensorflow 31%
How the work is done
- Remote 832 · 19%
- Hybrid 553 · 12%
- Onsite 521 · 12%
Visa sponsorship offered in 56% of the 514 postings that state a position on it.
Seniority
- Senior 1,104
- Staff 441
- Lead 312
- Intern 244
- Principal 202
- C-level 139
Who is hiring
- 1000+ employees 556
- 501-1000 employees 145
- 11-50 employees 67
- 51-200 employees 51
- 201-500 employees 15
- 1-10 employees 4
Quantitative Analytics & Model Consultant - Data Operations and Machine Learning Operations
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Quantitative Analytics & Model Analyst Senior - Data Operations and Machine Learning Operations
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Lead Solutions Analyst - AI/ML and Data Platforms
As a Lead Solutions Analyst at JP Morgan Chase’s Artificial Intelligence, Machine Learning and Data platform (AMDP) team, you will play a central role in driving the success of our technical program delivery. Your deep…
Embedded Audio ML Engineer Co-op
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused,…
Audio Machine Learning Co-op
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused,…
Machine Learning Engineer — Applied AI & Agents
Build the learning systems behind security agents At Cotool, we're building AI agents and the infrastructure around them to help security teams detect threats, investigate alerts, and respond. Our agents work across…
Machine Learning Engineer (Physics-based)
Build machine learning models that predict and optimize the behavior of electronic systems, grounded in electrical, thermal, and electromagnetic physics. Day to day: automating simulation pipelines, creating training datasets from simulations and hardware measurements, and developing physics-informed surrogate models using Python and frameworks like PyTorch or JAX.
Senior / Staff Machine Learning Engineer - 3D Sensor Simulation
Senior/Staff ML engineer on Zoox's 3D Sensor Simulation team, designing, training, and validating ML models that make simulated lidar, radar, and camera data realistic for autonomous-vehicle simulation, including neural 3D reconstruction (3DGS/NeRF) and GenAI data augmentation. Core stack: Python with PyTorch or TensorFlow.
AI / ML Engineer
Develop and integrate an Agentic AI system for a U.S. federal client, focusing on data pipelines, retrieval systems, and AI agent workflows using Python, cloud services, and DevOps practices.
AI / ML Engineer Manager
Lead a team to build and manage a centralized AI/ML platform for the DoD, overseeing model development, deployment, and MLOps to deliver secure, scalable AI-powered solutions.
Cleared AI/ML Engineer
Develops and deploys AI/ML models and MLOps pipelines for federal government clients, focusing on mission-critical applications using Python, TensorFlow, and cloud platforms.
AI/ML Engineer
Data Scientist/AI Specialist building data-driven solutions using Python and R, training ML models with TensorFlow and Scikit-Learn, and performing statistical analysis for US federal government clients.
Jr. AI/ML Engineer
Develop data-driven solutions using Python and R, build machine learning models with TensorFlow and Scikit-Learn, and perform statistical analysis supporting US federal government missions at Accenture Federal Services in Annapolis Junction, MD.
AI / ML Engineer
An AI/ML engineer at Accenture Federal Services designs, builds, and optimizes LLM-powered systems and RAG pipelines (ingestion, embeddings, vector storage, LLM orchestration) to solve US federal mission and enterprise challenges. Core stack: Python with PyTorch/TensorFlow/HuggingFace, AWS/Azure, Docker, and MLOps tooling; requires an active TS/SCI clearance.
AI / ML Engineer
An AI/ML Engineer at Accenture Federal Services designs, builds, and deploys machine learning and GenAI solutions (LLMs, RAG, agents) for US federal government clients, primarily on Google Cloud (Vertex AI, Gemini, BigQuery). Day to day they build end-to-end ML pipelines, fine-tune models, lead technical teams, and ensure security and compliance.
Staff ML Engineer, Product
Build and lead ML systems for fintech products like transaction enrichment and personalization, using Python, SQL, and LLM techniques to improve user financial insights at scale.
Al ML Engineer @ CGI
Position Description:The AI/ML Engineer is an engineer responsible for developing, testing, and deploying machine learning solutions that support analytics, automation, and decision making capabilities. This role…
Tech Lead Manager (Machine Learning)
Lead a team to build and scale the ML-powered personalization engine that optimizes patient financial outcomes in Cedar Pay, handling modeling, MLOps, and cross-functional product collaboration.
ML Engineer, Behavior Planning
ML Engineer on Aurora's Behavior Planning team designs and deploys large-scale imitation and reinforcement learning models for autonomous vehicle planning, plus offboard critic models and world-model simulation. Core stack: Python, PyTorch, Transformers, Diffusion Models, and distributed training on massive datasets.