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
Amazon SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Develops pre-silicon hardware/software co-design for machine learning chips, writing bare-metal software to verify SoC functionality and performance.
Director of Engineering – Machine Learning & AI Products
Lead a team building production-ready AI/ML products for external clients, owning end-to-end delivery from conception to deployment and customer success.
Machine Learning Engineer, GenAI/ML Associate
Jon a dynamic and diverse team that engineers large-scale, complex, and resilient technology solutions that drive our global business. A career with us is a journey, not a destination. This could be the next best step…
Machine Learning Engineer, Senior Associate
Build and deploy generative AI solutions for banking systems using Python/Java, React/Angular, and AWS; lead AI model development and prompt engineering.
Senior Machine Learning Engineer
Build and deploy ML models to understand creative content for Adobe Stock, Behance, and Firefly using Python, PyTorch/TensorFlow.
Applied AI/ML Researcher - Vice President
Lead AI/ML research to build GenAI and agentic tools that improve developer productivity, CI/CD, and operational resilience at a global bank.
Senior Staff ML Engineer
Senior Staff ML Engineer at Geico serving as technical leader for Generative AI applications, designing and deploying systems using LLM, agentic, and knowledge-search capabilities across the organization.
Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate
Build and deploy scalable AI/ML models and data pipelines using Python, TensorFlow, and NLP to transform raw data into actionable insights for risk and regulatory clients.
Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate
Build and deploy AI/ML models and scalable data pipelines using Python, TensorFlow, and NLP tools to transform raw data into actionable insights for risk and regulatory solutions.
Machine Learning Engineer
Builds and deploys AI/ML models (predictive, generative, agentic) for Adobe’s creative tools (e.g., Illustrator, InDesign) to enhance user workflows, focusing on RAG, embeddings, and copilots.
Research Engineer I II/III (AI / Machine Learning)
Build AI systems that ingest lab data, literature, and discussions to generate hypotheses, critique ideas, and design experiments for biomedical research.
Senior Machine Learning Scientist, AI for Biology & Translation (AIBT)
Leads AI/ML research for drug discovery, developing foundation models and multimodal AI to analyze biological/clinical data for biomedical research and translational science.
Principal Software ML Engineer
Principal engineer defining scalable, secure architectures for AI-enabled PC and peripheral software, integrating edge and cloud systems while leading cross-functional teams.
Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation and Evaluation
Build and validate AI models that generate high-fidelity synthetic data for autonomous-vehicle simulation, using diffusion and multimodal architectures to ensure physical-world accuracy.
Senior Technical Program Manager, Deep Learning Initiatives
Lead cross-functional AI programs at NVIDIA, coordinating research, engineering, and product teams to build, train, and deploy deep learning models on GPU infrastructure.
Engineering Manager, Deep Learning Inference
Lead a team building and optimizing NVIDIA’s open-source deep learning inference frameworks (e.g., SGLang, vLLM) to deploy LLMs and generative AI efficiently on GPUs from datacenter to edge.
Principal Software ML Engineer
Lead the architecture of AI-enabled software platforms for HP’s next-gen PCs and peripherals, integrating edge AI, LLMs, and cloud services while guiding cross-functional teams.