ML / AI Jobs in United States
There are 4,264 open ML / AI jobs in United States on freehire right now. 789 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 | $190,300 | $223,000 | $256,500 | 1,035 |
| 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 38%
- deep-learning 27%
- tensorflow 27%
How the work is done
- Remote 696 · 16%
- Hybrid 531 · 12%
- Onsite 382 · 9%
Visa sponsorship offered in 63% of the 1,015 postings that state a position on it.
Seniority
- Senior 1,218
- Staff 466
- Lead 215
- Principal 205
- Intern 105
- C-level 59
Who is hiring
- 1000+ employees 1,181
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Deep Learning Compiler Engineer
Design and implement compiler transformations for CUDA Tile, an MLIR-based tile programming model, optimizing GPU kernel performance across NVIDIA architectures using C/C++.
Contract Technical Recruiter – Cloud, Infrastructure, AI/ML
Recruits cloud, infrastructure, AI/ML, and other technical talent for a multicloud solutions provider, managing full-cycle hiring and building diverse pipelines.
Applied Machine Learning Scientist 2
Build and deploy ML models for personalization, recommendations, and ranking at The Washington Post, using Python, PyTorch/TensorFlow/JAX, and large-scale behavioral data to power intelligent reader discovery experiences.
Staff Security Detection Engineer, Machine Learning
Build and run machine learning models that turn high-volume security telemetry into accurate, low-noise detections for SoFi’s SOC and fraud teams, using Python, SQL, Spark, and cloud data platforms.
Campus AI Research Engineer – Deep Learning (Full-Time)
Research engineer builds and deploys deep-learning models for financial markets, using Python/C++/CUDA and PyTorch/JAX to optimize HPC pipelines and integrate low-latency systems.
ML Engineer
Architect, scale, and optimize end-to-end multimodal GenAI systems including agentic frameworks, model serving, and MLOps tooling using PyTorch/JAX, vLLM/TensorRT, and GPU optimization.
Senior Staff / Principal Machine Learning Scientist, AI Inference & Optimization
Lead the AI inference and optimization layer for agentic workflows, tuning models and runtimes for latency, throughput, and memory efficiency on real hardware within a cloud security company.
Machine Learning Engineer, AI Labs
Machine Learning Engineer at Netskope AI Labs building, optimizing, and deploying enterprise-scale AI solutions, particularly focusing on LLM inference optimization using technologies like vLLM, SGLang, and KV Cache optimization.
Principal / Distinguished Engineer, Machine Learning
Lead the AI/ML architecture and strategy for Netskope’s cloud security platform, designing scalable inference systems and optimizing LLMs for enterprise-grade security applications.
Software Engineer - AI/ML applications - Onsite
Develops and maintains AI/ML-powered systems, focusing on deployment, evaluation, and lifecycle management for a leading tech firm in Santa Clara, CA.