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
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Role name: Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium Work Location: US (Remote) Start date: Immediate availability. Interview Mode: Phone/Video Type: Contract (C2C/W2) Role…
AI/ML Specialist
A remote AI/ML Specialist who builds machine learning models and analytics for a performing arts consulting firm — developing personalization, predictive analytics, and automation solutions using Python/R and frameworks like TensorFlow, PyTorch, or scikit-learn.
Remote | ML Engineer (MSc. or PhD) — $60–$120/hour
Fully remote freelance consulting role for ML engineers/researchers (MSc/PhD) who develop, review, and validate machine learning problems, training/inference pipelines, and performance optimizations using Python and coding agents to improve frontier AI training and evaluation. ~15 hrs/week, output-based pay of $60–$120/hour.
Machine Learning Engineer, Driver Refinement & Validation, Perception
Machine learning engineer on Waymo's Perception team, owning end-to-end driving-behavior tasks in the ML Driver: developing and fine-tuning models at scale on millions of miles of sensor data, monitoring production ML systems, and optimizing for onboard hardware. Core stack is Python/C++ with PyTorch or JAX.
Staff ML/AI Platform Engineer
Staff ML/AI Platform Engineer responsible for designing, building, and scaling the ML/AI platform infrastructure, including model deployment pipelines, frameworks, and tools to productionize AI/ML products at BetterHelp.
Senior Machine Learning Engineer
Senior ML engineer developing machine-learning capabilities for Echodyne's radar sensors: improving detection, classification, and tracking models, building labeling/augmentation pipelines, and deploying models to embedded, fielded radar hardware. Core stack is Python and TensorFlow, with C++ a plus.
Software Engineer- Machine Learning
Machine learning engineer who designs, trains, and deploys ML models and data pipelines to solve client problems, working with Python/C++, TensorFlow/PyTorch, Docker/Kubernetes, and cloud platforms. Role involves data collection, model development, documentation, and customer engagement.
Senior AI/ML Platform Engineer
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Machine Learning Engineer II
Build and deploy production ML models for adMarketplace's native search advertising platform — relevance, ranking, CTR/CVR prediction, and bidding — owning the full ML lifecycle with MLOps, low-latency serving, and A/B testing. Core stack: Python, SQL, Spark/Hadoop, TensorFlow/PyTorch, cloud infrastructure.
Sr. Machine Learning Engineer, Autonomy
Senior hands-on ML engineer who owns autonomy capabilities (perception, tracking, sensor fusion, mission planning) for Heven AeroTech's hydrogen-powered drones — from requirements and architecture through simulation, onboard deployment on NVIDIA/embedded compute, and ground and flight test. Core stack: C++ and Python on Linux with real-time ML deployment.
Applied AI/ML Scientist, Intern - Winter 2027
Winter 2027 intern (12-14 weeks, San Francisco hybrid) on Faire's Applied AI/ML Science team, owning a project on shipping/fulfillment models for the wholesale marketplace — such as predicting order packing, recommending cheaper packing, or inferring product weight/size from catalog data using multimodal deep learning (PyTorch), plus Python, SQL, and statistics.
Staff Machine Learning Engineer - Search
Designs and builds large-scale search and ML systems for a sports betting platform, focusing on real-time personalization, relevance ranking, and vector search to power discovery experiences.