ML / AI Jobs in United States
There are 4,345 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 707 · 16%
- Hybrid 535 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 63% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,240
- Staff 471
- Lead 223
- Principal 209
- Intern 116
- C-level 58
Who is hiring
- 1000+ employees 1,199
- 501-1000 employees 286
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Sr. Computer Vision Engineer (Deep Learning)
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Staff Machine Learning Engineer
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Machine Learning Engineer — Model Evaluation & Experimentation
Design and run ML experiments to evaluate and improve cutting-edge GenAI models, focusing on reinforcement learning tasks and rigorous analysis.
AI/ML Software Engineer
Develops real-time computer vision and AI algorithms for Apple products, integrating ML models into large-scale systems to power features like digital humans and health intelligence.
Mid AI/ML Engineer
Design and deploy AI/ML systems, including LLM-based and RAG architectures, for a federal data ecosystem while optimizing models and infrastructure on cloud platforms.
Applied Research Robotics & Computer Vision Engineer
Develops 3D computer vision and autonomous navigation systems for intelligent robots, implementing perception pipelines and scene reconstruction from monocular images.
Staff Machine Learning Engineer – (ADAS/Autonomous Driving)
Leads the integration and deployment of advanced perception models into production ADAS and autonomous driving systems, optimizing performance on automotive-grade hardware using C++, Python, CUDA, and TensorRT.
Machine Learning Engineer, Foundation Model Services
Build and optimize production-grade inference services for Apple’s large language, vision, and speech models, ensuring low-latency performance across products like Siri and Photos.
Senior Machine Learning Engineer
Build and scale AI systems—including generative AI, predictive models, and agentic workflows—using Python and cloud tools to automate commercial real-estate loan servicing at Berkadia.
Senior Machine Learning Engineer
Build and improve AI systems that power clinical products, including LLMs and agentic workflows, with end-to-end ownership of evaluation, deployment, and production debugging.
AI/ML Strategist
Designs and enforces AI/ML governance frameworks for federal agencies, ensuring responsible AI practices, regulatory compliance, and security controls for enterprise-scale model deployments.
Senior Machine Learning Engineer, CAD Computational Design
Build parametric CAD pipelines that turn 3D foot scans and clinical rules into custom orthopedic devices, bridging AI predictions with rule-based design and manufacturing.
Java AI/ML Engineer - Independent Consultants only
Build and optimize AI/ML pipelines and distributed systems using Java, Python, or C++ with Spark, SQL, and Snowflake/Hadoop for large-scale data processing.
Senior/Staff SRE for AI/ML Platform Infrastructure
Design and operate the Kubernetes-based infrastructure that runs Xoriant’s AI/ML platform, including on-call rotation, observability, and cloud-native tooling.
Research Robotics/Computer Vision Engineer
Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
AI/ML SW Engineer L2
Build and integrate LLM-powered workflows and agent-based automation for secure, classified environments, ensuring reliability and compliance with security standards.