ML / AI Jobs in United States
There are 4,264 open ML / AI jobs in United States on freehire right now. 789 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 | $190,850 | $223,000 | $256,500 | 1,034 |
| 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 696 · 16%
- Hybrid 531 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,215
- Staff 467
- Lead 215
- Principal 206
- 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
Amazon SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning
Develops power models and analyses for AI accelerators (Inferentia/Trainium SoCs) across design stages, collaborating with architects, designers, and engineers to optimize power efficiency and validate simulations with lab measurements.
Software Engineer III - Machine Learning Platform
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
Software Engineer, MLOps - Machine Learning
Build and maintain MLOps infrastructure for freight-intelligence models, automating monitoring, retraining, and deployment at scale in a logistics-focused product team.
Senior Machine Learning Engineer
Build and maintain ML infrastructure for fintech underwriting models, deploying scalable systems in production while collaborating with cross-functional teams.
Machine Learning Operations Engineer
MLOps Engineer building end-to-end data science and AI applications for clinical and operational initiatives at a healthcare system.
AI/ML Engineer (GenAI), Wireless Technologies & Ecosystems
Develops AI/ML agents, tools, and services to analyze wireless/cellular performance issues for Apple devices, improving user experience through automated debugging and system evaluation.
Senior Staff Software Engineer, AI/ML, Google Cloud
Senior Staff Engineer on Google Cloud's Cloud GPU team, designing and scaling GPU fleet infrastructure and AI Platform for large-scale training and inference workloads across Google Compute Engine.
Senior Machine Learning / MLOps Engineer
Designs and maintains cloud-based ML pipelines, data pipelines, and infrastructure to support AI initiatives, ensuring scalability, robustness, and continuous optimization of data and ML solutions.
Staff Machine Learning Engineer - Data Lake, Anomaly Detection
Design and deploy AI-driven anomaly detection systems using LLMs and ML models to secure Zscaler's cloud security platform, leveraging its massive data lake and distributed microservices architecture.
AI Research Assistant — Machine Learning & AI
Part-time AI Research Assistant focused on applying ML, LLMs, and generative AI to education—reading papers, implementing experiments, fine-tuning models, and contributing to grant proposals using Python and PyTorch.
Machine Learning Engineer - On-Device Adaptive Control
Develops on-device ML and control systems to manage energy flow and thermals in Apple devices. Work involves analyzing sensor data, prototyping algorithms in Python and C++, and shipping solutions for resource-constrained hardware.
Senior Machine Learning Engineer, Vision Models
Build and refine computer vision models to measure autonomous driving performance offline, adapting foundation models for scene understanding and benchmarking accuracy across conditions.
Senior Machine Learning Engineer, Vision Models
Build and refine offline computer-vision models that measure autonomous-driving performance using large-scale sensor data and foundation-model techniques.
AI/ML Architect
Designs and oversees the full AI development lifecycle, from code-graph analysis and LLM evaluation to data migration and production deployment.
Lead AI/ML Engineer
Lead AI/ML engineer designing, building, and deploying production-grade AI systems in AWS for federal clients, mentoring teams, and evaluating emerging technologies.
Sr. AWS AI Engineer with Bedrock Agent Core & Custom AI/ML
Develops AI/GenAI applications using Amazon Bedrock and AgentCore, focusing on implementation and engineering of AI-powered solutions.