ML / AI Jobs in United States
There are 4,264 open ML / AI jobs in United States on freehire right now. 788 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 | $190,300 | $223,000 | $256,500 | 1,035 |
| USD | hour | $30 | $40 | $60 | 36 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- python 61%
- pytorch 40%
- cloud 38%
- llm 38%
- deep-learning 27%
- tensorflow 27%
How the work is done
- Remote 697 · 16%
- Hybrid 530 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,218
- Staff 466
- Lead 215
- Principal 205
- Intern 105
- C-level 59
Who is hiring
- 1000+ employees 1,181
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Software Engineer - AI/ML applications - Onsite
Develops and maintains AI/ML-powered systems, focusing on deployment, evaluation, and lifecycle management for a leading tech firm in Santa Clara, CA.
Computer Vision Engineer - Remote Role
Designs and optimizes real-time computer vision pipelines on NVIDIA Jetson hardware, combining geometric math and CUDA acceleration to achieve ultra-low latency (<10ms) for edge AI applications.
Campus AI Research Engineer - Deep Learning (Intern)
Research intern applies deep learning to financial markets, building and optimizing ML models in Python/C++/CUDA and deploying them into low-latency trading systems.
Machine Learning Engineer
Design state-of-the-art ML models and large-scale systems for Stripe Capital’s underwriting and portfolio management, using PyTorch and TensorFlow, while building scalable pipelines and collaborating with product partners.
Staff Software Engineer, Machine Learning Platform
Lead the architecture and strategy for Stripe's machine learning platforms, designing scalable systems for training, serving, and agentic AI while collaborating with cross-functional teams to drive ML innovation.
Technical Program Manager III, Machine Learning and Data, Pixel
Leads complex ML/data projects for Google Pixel, managing cross-functional teams to develop and deploy AI-driven mobile features while ensuring data governance, security, and product quality standards.
Sr. Staff Machine Learning Systems Engineer
Leads the design, implementation, and scaling of ML evaluation systems, data pipelines, and statistical testing frameworks to ensure reliability and performance in healthcare-related AI systems.
Machine Learning Engineer
Designs and implements real-time data pipelines and machine learning models to optimize ad targeting and performance for a programmatic advertising platform.
Sr. Staff Machine Learning Systems Engineer
Own the end-to-end AI/ML evaluation infrastructure for a regulated health platform: design judges, scorers, and statistical gates to ensure models are safe and effective before reaching patients.
AI/ML Engineer – Generative AI
Build and optimize cutting-edge generative AI models for image generation and multimodal applications using AMD’s GPUs, collaborating with researchers and engineers to push visual computing boundaries.
Principal Machine Learning Engineer
Designs and scales AI-driven personalization, search, and ranking systems for a consumer-scale adtech platform, focusing on real-time ML infrastructure and cross-team collaboration.
Machine Learning Platform Engineer - Backend Services
Build and enhance the machine learning platform backend services to manage model lifecycles and perform NLP analysis using Python, Java, Kubernetes, and cloud technologies.
Principal Machine Learning Engineer, Geometric Vision
Principal ML Engineer builds 3D foundation models for autonomous driving, focusing on geometric vision, neural rendering, and world modeling using large-scale sensor data and PyTorch/C++.