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
Junior AI/ML Engineer
Junior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is an innovative solutions development company that combines agile development services with next-generation technologies…
Machine Learning Engineer, Radar Perception II/III
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re…
Senior AI/ML Engineer
Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice…
Machine Learning Engineer- TS/SCI with Polygraph
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data…
Senior Machine Learning Engineer, Applied Intelligence
Type: Direct hire, full-time · Base: $220,000–$292,000 + equity · Clearance: U.S. Person required (export control); Secret clearance preferred VDS is recruiting a senior ML engineer to bring AI onto the factory floor…
Lead Software Engineer - AI/ML Lead Software Engineer
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking- Home Lending…
Applied AI/ML Lead - Data & Analytics - Vice President
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by…
Vice President Product Delivery Manager – AI/ML Solutions
Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the…
Artificial Intelligence/Machine Learning Analyst
Artificial Intelligence/Machine Learning Analyst Kalman & Company is seeking a highly motivated, performance-driven individual with strong AI/ML experience to work closely with our Federal and DoW clients. Successful…
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we…
Machine Learning Engineer
Machine learning engineer who owns LLM evaluation end-to-end for Honcho, Plastic Labs' memory and identity layer for agents: designing evals, defining scores, building data pipelines and simulation agents, and reading traces to improve entity representations. Core stack is Python, PyTorch, Hugging Face, and Weights & Biases.
ML Engineer, Motion Planning
Develops ML-powered motion planning systems for DiDi's Level 4 autonomous driving unit (Voyager): builds learned planners, end-to-end models, and hybrid ML-plus-rule-based planning, plus training/eval and simulation pipelines, deploying models under onboard compute and latency constraints using Python, C++, and modern deep learning frameworks.
AI/ML Software Engineering - Talent Pipeline
Fullsteam, a vertical software and embedded payments provider, is building an evergreen talent pipeline for upcoming AI/ML software engineering roles. The work spans scalable backend services, APIs and data pipelines, plus LLM-based agentic systems and ML models, using Python, FastAPI, and AWS (Lambda, Bedrock, OpenSearch).
Senior Product Manager, Machine Learning
Senior Product Manager owning product strategy and roadmap for Baton's (Ryder's in-house lab) Machine Learning pod — driving ML and Generative AI initiatives like ETA prediction from PoC to production on a freight logistics platform. Hybrid role in Hayes Valley, San Francisco; $190k–$240k base plus bonus.
Computer Vision Engineer
Duranta, an applied AI lab in Seattle, is hiring a Senior Computer Vision Engineer to build CV models (Mask2Former, SAM, ViT, Swin) for aerial/oblique imagery, run large-scale PyTorch experiments, reproduce research from top venues, and develop ML infrastructure and inference optimizations across segmentation, 3D reasoning, and generative modeling.
Senior/Staff Machine Learning Engineer (Tech Lead, Model Dev)
Artera, an AI company building foundation models for cancer care, seeks a senior/staff ML engineer to serve as tech lead for AI biomarker development — owning the full lifecycle from problem framing through model validation, regulatory submission, and production deployment. Core work involves deep learning in PyTorch/TensorFlow on multimodal clinical data (whole-slide pathology images, clinical va
Computer Vision/Machine Learning Intern
An intern in KLA's e-Beam division (Milpitas, CA) researches and prototypes cutting-edge image-processing and machine/deep-learning algorithms for next-generation semiconductor defect-inspection products, including generative/diffusion models for SEM image simulation and image quality enhancement. Core tools: Python, TensorFlow/PyTorch, MATLAB.