ML / AI Jobs in United States
There are 4,348 open ML / AI jobs in United States on freehire right now. 787 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 | $191,800 | $223,489 | $258,438 | 1,023 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 90%
- ai 77%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 710 · 16%
- Hybrid 537 · 12%
- Onsite 378 · 9%
Visa sponsorship offered in 64% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,250
- Staff 472
- Lead 222
- Principal 208
- Intern 116
- C-level 59
Who is hiring
- 1000+ employees 1,198
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Machine Learning Engineer, Search Quality
Build and improve Glean’s enterprise search and AI assistant by training ranking models, personalizing results, and adapting LLMs to customer data.
Senior ML Engineer - Client Experimentation
Senior ML Engineer builds and scales on-device experimentation systems for Apple’s ad platforms, designing A/B tests and privacy-preserving ML algorithms to optimize ad delivery and user experience.
Senior AI/ML Engineer Generative AI
Design and build enterprise-scale Generative AI solutions on Microsoft Azure using LLMs, RAG, vector embeddings, and cloud-native architectures.
Machine Learning Infrastructure Engineer
Build and maintain the ML infrastructure that powers NewsBreak’s AI-driven recommendations and ad systems, optimizing training, serving, and monitoring pipelines.
Member of Technical Staff, Machine Learning
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
AI/ML ASIC Architect
Design AI/ML accelerator ASICs and storage solutions, defining I/O subsystems (PCIe/UCIe/CXL) and memory hierarchies for high-performance AI workloads.
Senior Machine Learning Engineer
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Senior Python Engineer - Lead AI/ML Platform & Solutions
Lead AI/ML platform development at Walmart, designing scalable systems and integrating models to deliver customer-focused solutions while mentoring peers.
Applied Machine Learning Engineer
Build and deploy ML models to optimize Databricks’ distributed infrastructure, improving performance and cost efficiency for serverless compute products.
Applied ML Engineer
Build and improve ML systems powering Macroscope’s AI features, focusing on evaluation datasets, model training, and reinforcement learning to enhance codebase insights and developer productivity.
Senior AI/ML Solutions Engineer — Kubernetes & GPU Infra
Build and troubleshoot AI/ML environments on high-performance GPU infrastructure, run demos and PoCs, and support enterprise customers deploying workloads in NYC.
Senior Quant, Artificial Intelligence/Machine Learning
Senior quant builds and validates AI/ML models for banking use-cases like fraud and credit risk, using deep learning, LLMs, and agentic AI frameworks, and documents findings for regulators and stakeholders.
Cleared Machine Learning Software Engineer
Build and deploy AI-driven compliance automation tools for government clients using Python, ML models, and cloud-native tech in a secure environment.
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Build, deploy, and monitor AI/ML models and MLOps pipelines for federal missions, integrating NLP, LLMs, and predictive analytics into secure enterprise systems.