ML / AI Jobs in United States
There are 4,343 open ML / AI jobs in United States on freehire right now. 785 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 | $191,650 | $223,155 | $257,625 | 1,022 |
| USD | hour | $30 | $39 | $60 | 37 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 91%
- ai 78%
- python 61%
- pytorch 40%
- llm 39%
- cloud 38%
- deep-learning 27%
- tensorflow 26%
How the work is done
- Remote 708 · 16%
- Hybrid 537 · 12%
- Onsite 379 · 9%
Visa sponsorship offered in 63% of the 1,030 postings that state a position on it.
Seniority
- Senior 1,245
- Staff 472
- Lead 223
- Principal 208
- Intern 116
- C-level 58
Who is hiring
- 1000+ employees 1,199
- 501-1000 employees 286
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Data Analysis and Machine Learning Software Engineer
Develop and implement data analysis and machine learning algorithms for environmental research, using Python/MATLAB and libraries like TensorFlow in a Linux environment.
Senior Machine Learning Engineer, AI Platform
Build and own the shared AI platform that trains and serves Adobe’s generative AI models at global scale, focusing on GPU fleet utilization, low-latency inference, and end-to-end model deployment pipelines.
Senior Machine Learning Engineer, Agentic Science/Generative Models, AI for Biology & Translation (AIBT)
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Lead a team to design, build, and deploy ML models and MLOps infrastructure using PyTorch/TensorFlow on AWS, KServe, and Kubernetes for Capital One’s AI-driven financial products.
Amazon Applied Scientist II, Prime AI/ML Science
Build and deploy large-scale AI/ML models to optimize Amazon Prime’s customer experience using GenAI, LLMs, and reinforcement learning on TB-scale data.
Amazon Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Build and optimize distributed training infrastructure for GenAI models on AWS Trainium using PyTorch/JAX, tuning compiler, runtime, and parallelism to maximize throughput and hardware utilization.
Lead Software Engineer - Machine Learning Platform
Lead a team building and optimizing scalable ML training platforms on AWS/Kubernetes, focusing on GPU workloads, performance tuning, and Gen AI/LLM pipelines while enforcing enterprise governance and security standards.
Applied AI/ML - Senior Associate
Build and productionize secure, scalable AI/ML and GenAI solutions using Python, LLMs, and agentic frameworks to drive measurable business outcomes at a major bank.
AI/ML Engineer
Design and implement AI/ML solutions—including LLM-powered workflows and agent-based automation—to streamline classified-data analysis and support rapid decision-making for national security missions.
Senior Manager, Machine Learning Platform Engineer
Build and maintain ML infrastructure and data pipelines to operationalize AI models for drug-quality oversight in a regulated healthcare environment, using Python, cloud platforms, and MLOps practices.
Lead Engineer AI/ML - Onsite
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Senior Manager, Machine Learning Platform Engineer
Build and maintain ML and data infrastructure to operationalize AI models for drug quality oversight, enabling proactive risk detection and compliance in a regulated healthcare environment.
Machine Learning Engineer
Design, build, and deploy ML models (neural networks, tree-based) to predict fraud, delinquency, and repayment for merchant loans using Python, PyTorch, and BigQuery.
Sr Staff Machine Learning Engineer - Uber AI Solutions
Build and own ML and backend systems for Uber AI Solutions, driving end-to-end verticals from data infrastructure to production AI models that power global AI teams.
Sr Staff Machine Learning Engineer - Uber AI Solutions
About the role and team Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and…
Amazon AI/ML Specialist Solutions Architect, Payments, AGS US Specialist SA
Design and implement AI/ML solutions for payment systems on AWS, advising customers on cloud architecture and best practices.