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
Systems Engineer - Machine Learning
Joins Anduril's Space Ground Systems team to engineer missile-defense and fire-control algorithms: designing track-fusion pipelines, weapon-target assignment, and ML models (deep nets, reinforcement learning, physics-based neural models) using Python/C++, PyTorch/TensorFlow, and GPUs. Requires an active U.S. Secret clearance and 5+ years of engineering experience.
Senior Machine Learning Engineer, Multimodal Perception
Senior ML engineer on Waymo's Special Vehicle Compliance team building multimodal perception for autonomous vehicles: training multi-task deep learning models (PyTorch/JAX) that fuse camera, LiDAR, and audio, developing high-resolution vision transformer backbones, and running large-scale data mining/auto-labeling pipelines, with model optimization for onboard accelerator inference.
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML
Senior ML engineer on Waymo's Special Vehicle Compliance team, building learned driving policies that bridge perception and planning for autonomous vehicles. Day-to-day involves training, evaluating, and deploying decision-making models into production using PyTorch/JAX, RL/imitation learning, and closed-loop simulation.
Principal ML Engineer
Principal Machine Learning Engineer About Mimecast The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small…
Senior Staff Machine Learning Engineer_Voice AI
Senior ML engineer on ServiceNow's Voice AI team, designing and building the core Voice Platform — audio acquisition, conversation management, speech generation, and LLM-based voice agents — deployed as large distributed systems across regions. Key tech: Python/Go/Java, LLM integration, and Kubernetes-based DevOps.
Staff Machine Learning Engineer_Voice AI
Staff ML engineer on ServiceNow's Voice AI team, designing and building the core voice platform (audio acquisition, conversation management, speech generation, LLM/voice model integrations) and deploying it as large-scale distributed systems across regions, using Python, Go, or Java with Kubernetes and DevOps practices.
Head of Machine Learning
Leads and scales EarnIn's machine learning organization, owning the ML roadmap and managing multiple teams that move models from research to production for its earned wage access fintech product. Requires deep ML engineering depth (Python, SQL), 12+ years experience, and hands-on leadership.
Senior Machine Learning Engineer - Applied Scientist
Overview We are looking for a Senior Machine Learning Engineer - Applied Scientist to help define, evaluate, and build the next generation of AI-powered product experiences. This role requires a leader who combines…
AI/ML Engineer Intern
Summer 2027 intern in Intuitive Surgical's GAVE team building a system to identify, deduplicate, validate, and ingest publications supporting clinical evidence for robotic-assisted surgery, integrating existing LLM pipelines. Day-to-day is hands-on Python, SQL, data pipeline, and ML work in a remote/hybrid internship.
CDS Intern - InfoSec AI/ML
Costco IT is responsible for the technical future of Costco Wholesale , the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion,…
Machine Learning Intern - Master's
12-week summer Machine Learning Research Internship on PlayStation's Game Service ML team at Sony Interactive Entertainment in San Mateo, CA. The intern researches multimodal AI (contrastive/self-supervised learning, state space models) that analyzes gameplay video, audio, and controller inputs to automatically detect bugs and glitches during game QA/testing, prototyping findings in Python with Py
Machine Learning Intern - PhD
12-week PhD-level ML research intern at Sony Interactive Entertainment's PlayStation Global R&D in San Mateo, researching multimodal AI (vision-language models, self-supervised/contrastive learning) and anomaly detection on gameplay video, audio, and controller inputs to automate game QA. Stack: Python with PyTorch or TensorFlow.
Software Development Engineer in Test Intern (AI/ML) - Undergraduate
Internship on Sony Interactive Entertainment's Quality Engineering team in San Mateo: test PlayStation features across web, mobile, and desktop, build and maintain automated tests, and troubleshoot issues, with a focus on applying AI/ML to testing. Tools include Python/JavaScript/Java/C++, Selenium/Appium/Playwright/Cypress, Git, and CI/CD.
Sr. Software Development Engineer in Test, AI/ML
Lead end-to-end QE strategy and architect scalable automated test frameworks (UI, API, integration, system-level) for PlayStation applications and services, including testing ML systems like recommendation engines.
Senior Principal Engineer, Data & Machine Learning
Senior principal-level individual contributor serving as chief architect for PlayStation's Data & Intelligence organization, setting multi-year architecture and standards for data products, ML systems, real-time activation, and generative AI while staying hands-on. Requires deep distributed systems, cloud, data/ML platform and governance expertise at massive consumer scale.