ML / AI Jobs in United States
There are 4,273 open ML / AI jobs in United States on freehire right now. 790 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 | $190,850 | $223,000 | $256,500 | 1,034 |
| 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 27%
How the work is done
- Remote 697 · 16%
- Hybrid 531 · 12%
- Onsite 383 · 9%
Visa sponsorship offered in 63% of the 1,017 postings that state a position on it.
Seniority
- Senior 1,216
- Staff 466
- Lead 218
- Principal 206
- Intern 104
- C-level 60
Who is hiring
- 1000+ employees 1,185
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Machine Learning Infrastructure Engineer, GenAI Technology
Designs and maintains high-performance infrastructure for large-scale generative AI and machine learning workloads, including distributed systems, GPU compute, and MLOps pipelines in a financial firm.
Machine Learning Researcher - Intern
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
NLP Engineer
Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
Quantitative Researcher - Machine Learning
Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Quantitative Researcher - Machine Learning
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
Machine Learning Engineer, GenAI Technology
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
Onsite AWS Cloud Engineer with AI/Ml exp (Only Austin TX)
Designs, builds, and deploys AI cloud applications using cloud-native services; troubleshoots cloud infrastructure, networking, and performance issues while collaborating with cross-functional teams.
Machine Learning Infrastructure Engineer, Safeguards Research
Builds and scales the infrastructure and data pipelines behind AI misuse detection systems, enabling researchers to train and deploy lightweight detection methods efficiently using Python and distributed systems.
RTL Design Engineer, Machine Learning Accelerators
RTL Design Engineer developing TPU (Tensor Processing Unit) silicon for AI/ML hardware acceleration, using Verilog/SystemVerilog to design and verify ASIC blocks.
Staff Software Engineer, On-Device Machine Learning Infrastructure
Design and build on-device ML infrastructure, optimizing LLMs (Gemini Nano, Gemma) across GPUs, TPUs, NPUs, and CPUs on Android and Chrome, while coordinating across Android ML, ML Compiler, and DeepMind teams.