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
Lead Machine Learning Engineer
Lead the design and deployment of cutting-edge NLP and LLM-based AI systems, building evaluation frameworks to ensure quality and safety at scale.
Software Engineer, Machine Learning/AI
Develop and deploy AI/ML models for defense applications, integrating them into systems using Python, TensorFlow, and cloud platforms.
Senior Software Engineer, Machine Learning
Build and optimize in-database ML models (classification, regression, time series) that run entirely inside Ocient’s SQL engine, matching scikit-learn/Spark ML behavior while scaling to massive datasets.
Data Infrastructure and Machine Learning Engineer
Designs and builds scalable data pipelines and Python-based processing systems to enable machine learning and analytics for semiconductor manufacturing workflows.
AI/ML Software Engineer, Globalization & LLM Backend
Designs and scales backend services for internationalization/localization, integrating AI/LLM capabilities and deploying on cloud platforms like Azure, AWS, or GCP.
Remote AI/ML Backend Engineer for Globalization
Build backend services in Python/Node.js/TypeScript to power AI-driven globalization workflows, integrating ML/LLMs and CI/CD pipelines for localization and translation.
Software Engineer, Machine Learning Infrastructure
Build and deploy ML infrastructure, APIs, and data pipelines; maintain GPU resources and MLOps tooling to productionize audio models.
Akamai Machine Learning Senior Software Engineer (Remote)
Build and operate AI model validation, quantization, and safety systems for Akamai’s Inference Cloud, including vulnerability scanning, optimization pipelines, and compliance guardrails.
Founding Engineer, Artificial Intelligence/Machine Learning
Build and own the AI/ML intelligence layer for a recruiting marketplace, including recommendation systems, ranking algorithms, and LLM-powered matching pipelines.
Machine Learning Engineer, Robotics
Design and deploy ML models for robotics, including perception, planning, and control systems using PyTorch/TensorFlow and ROS/ROS2.
Machine Learning Engineer (Remote)
Build and deploy production-grade ML systems for an AI data startup, designing LLMs, embeddings, and reinforcement learning environments from scratch.
Senior AI and Machine Learning Engineer
Build and deploy AI/ML models and GenAI applications for a large financial-services company, including data pipelines, APIs, and cloud infrastructure on AWS/GCP.
Artificial Intelligence and Machine Learning Engineer
Build and deploy AI/ML models and data pipelines to power financial services for military members, using Python, SQL, Java, and cloud platforms like AWS.
Senior ML Engineer - Search & LLM Ops
Build and deploy advanced search, ranking, and recommender systems using LLMs and vector embeddings to deliver personalized financial insights for hedge funds and banks.