ML / AI Jobs in United States
There are 4,260 open ML / AI jobs in United States on freehire right now. 799 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 | $190,600 | $223,000 | $256,500 | 1,033 |
| USD | hour | $30 | $40 | $60 | 36 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- python 61%
- pytorch 40%
- cloud 38%
- llm 37%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 692 · 16%
- Hybrid 531 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,014 postings that state a position on it.
Seniority
- Senior 1,214
- Staff 466
- Lead 218
- Principal 205
- Intern 104
- C-level 58
Who is hiring
- 1000+ employees 1,182
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
AI/ML Governance & Automation Lead -Vice President
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Generative AI is making machine learning model development faster than ever. Be a change agent…
Senior Backend Engineer - AI/ML, Cloud & Healthcare Data
The Senior Backend Engineer will design and develop scalable backend services, APIs, and data pipelines to support AI/ML and healthcare analytics. The role focuses on cloud infrastructure, CI/CD, and maintaining secure, observable production systems.
Solutions Engineer, AI/ML
The Solutions Engineer will work directly with customers to implement production-ready AI and software solutions using LLMs, MLOps, and cloud infrastructure. This role bridges technical expertise and customer success to drive product adoption and roadmap development.
Senior AI/ML Engineer
The Senior AI/ML Engineer will lead the design and development of an enterprise-grade agentic AI orchestration platform using Claude, LangGraph, and RAG. The role focuses on building modular, scalable AI components and multi-agent workflows within a multi-node architecture.
Machine Learning Engineer
The Machine Learning Engineer will design, build, and deploy machine learning solutions for production environments while collaborating with research and engineering teams. The role involves running experiments on large datasets and maintaining customer-facing software products.
Machine Learning Engineer, GenAI/ML - Vice President
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join a dynamic and diverse team that engineers large-scale, complex, and resilient technology…
Founding Engineer (AI/ML)
Founding AI/ML engineer owning the intelligence layer—recommendation systems, ranking algorithms, and LLM-powered matching—for an early-stage AI recruiting marketplace, using TypeScript, React, Supabase, Prisma, and LLM APIs.
Founding Machine Learning Engineer
Founding ML Engineer building production-grade ML pipelines and deploying LLMs/generative models from the ground up at an early-stage AI company, using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
AI/ML Document Processing Developer
Build and operate backend services and batch pipelines that classify and extract data from documents using AI/ML technologies, requiring a BI Full 6C (T4) security clearance.
On-device ML Performance Engineer, Graphics, Games and Machine Learning
Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning
Build and optimize the Core ML Runtime and graph compilation system for on-device ML execution across Apple platforms, using C++/Swift, compiler stacks like MLIR/LLVM, and deep systems programming expertise.
Machine Learning Engineer - Mid-Level
Develops advanced deep learning models for computer vision, SAR, and geospatial analysis to solve national security challenges, focusing on object detection, classification, and physics-based simulations for government applications.