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
ML/AI Engineer
Design and implement machine learning models for robotics systems, focusing on human-robot interaction and robot action, using Python and C++ in a startup environment.
Sr. Machine Learning Engineer
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Machine Learning/Agentic AI Intern
A paid 12-week PhD internship at Toyota Research Institute in Cambridge, MA (hybrid, in-office), undertaking a scoped research project in agentic AI applied to areas like robotics, vehicle design, factory logistics, or numerical optimization, working toward publication with TRI researchers; requires RL fine-tuning of foundation models.
PhD Machine Learning Engineer, Intern
Summer 2027 PhD machine learning engineering internship at Stripe (San Francisco, NYC, Seattle) within Applied ML, Data Science, Risk, and Payments. Interns design, train, and deploy production-scale ML systems — e.g., fraud detection, Stripe Assistant, and the Stripe Foundation Model — using Python, Scala, Spark, and common ML libraries.
Master's Machine Learning Engineer, Intern
A summer 2027 Master's-level machine learning internship at Stripe (SF, NYC, or Seattle), where interns design, train, and deploy production-scale ML systems across Applied ML, Risk, and Payments — including fraud detection, the Stripe Assistant, and the Stripe Foundation Model. Core technologies include Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
Lead Research Scientist - Machine Learning
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.
Senior Machine Learning Engineer
Senior ML engineer on Samsara's Safety AI team building the cloud-side ML backend for AI dash cameras: serving low-latency ML APIs, petabyte-scale data pipelines, model evaluation/monitoring, and edge-to-cloud optimization using languages like Python, Go, or C++ with tools such as PyTorch, Ray, and MLflow. Remote within the US or Canada.
Staff Machine Learning Engineer, Compliance Automation (Platform)
Staff ML engineer on Coinbase's Compliance Automation team building production Agentic AI (LLM-powered agents, orchestration pipelines, evaluation frameworks) that automate compliance workflows like investigations and decision support. Core stack: Python, LLM/RAG tooling, LangChain, Airflow, Spark. Remote-first USA role with quarterly in-person surges.
Senior Machine Learning Engineer, CX
Senior ML Engineer on Coinbase's CX Intelligence Engineering team designs and builds AI-powered customer support systems: multi-agent LLM frameworks, chatbots, agent assist, and copilot tools that scale to millions of interactions. Core stack: Python, LLMs, LangGraph, Vertex AI/AWS Bedrock.
Lead Machine Learning Engineer - ML Infrastructure
Lead the architecture and evolution of Samsara's end-to-end ML platform, spanning training, experimentation, inference, and edge deployment across 2M+ devices, driving safety outcomes for industries like transportation and manufacturing.
Senior Machine Learning Platform Engineer - Identity
Builds and operates the ML platform infrastructure powering feature engineering, model training, and model serving (including LLM inference) across Coinbase, supporting fraud detection, personalization, and blockchain analysis. Core work spans low-latency streaming pipelines, distributed training, and highly available inference services.
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Design and deploy reinforcement learning algorithms for robotic control and motion planning in dynamic environments, integrating with hardware and simulation tools like Isaac Gym and PyTorch.
Machine Learning Engineer
Machine Learning Engineer at Dorsia, an AI-native hospitality-tech startup in NYC: build and deploy models for search, ranking, recommendations, pricing, fraud detection, and demand prediction, owning the full ML lifecycle from data pipelines to real-time inference. Stack includes Python, SQL, PyTorch, scikit-learn, Airflow, dbt, and AWS; 5 days/week in the SoHo office.
Staff Machine Learning Engineer - Edge AI
Build and optimize AI models for edge devices to improve safety and efficiency in physical operations like transportation and logistics using petabyte-scale sensor and video data.