ML / AI Jobs in United States
There are 4,485 open ML / AI jobs in United States on freehire right now. 1,045 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 | $194,895 | $227,500 | $262,500 | 805 |
| USD | hour | $45 | $70 | $90 | 69 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 95%
- ai 82%
- python 71%
- pytorch 47%
- llm 45%
- cloud 44%
- deep-learning 32%
- tensorflow 31%
How the work is done
- Remote 832 · 19%
- Hybrid 553 · 12%
- Onsite 521 · 12%
Visa sponsorship offered in 56% of the 514 postings that state a position on it.
Seniority
- Senior 1,104
- Staff 441
- Lead 312
- Intern 244
- Principal 202
- C-level 139
Who is hiring
- 1000+ employees 556
- 501-1000 employees 145
- 11-50 employees 67
- 51-200 employees 51
- 201-500 employees 15
- 1-10 employees 4
Research Scientist, Machine Learning for Wearables
Reality Labs at Meta is seeking research scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the…
Senior Machine Learning Engineer, Perception and Controls
Senior Machine Learning Engineer at Capstan Medical builds perception for a robotic heart-valve treatment platform: image-to-robot registration and pose estimation from fluoroscopy/echocardiography, fused with robot kinematics, deployed in real time under FDA design controls. Hybrid role, onsite 3-4 days/week across Santa Cruz and West Menlo Park, CA.
ML Engineer
About The Company ISC2 is a globally recognized nonprofit organization dedicated to advancing the cybersecurity profession. With a mission rooted in integrity, advocacy, commitment, inclusion, and excellence, ISC2…
Machine Learning Engineer - Remote
About the Company The hiring company is a rapidly growing technology business focused on solving complex fraud and risk challenges at scale. Its machine learning team develops production models that influence millions…
Machine Learning Engineer, AI
About The Company Honda has a clear vision for the future, and it's a joyful one. We are committed to innovation, sustainability, and technological advancement in the automotive industry. Honda strives to be a company…
AI/ML Engineer
Position: AI/ML Engineer Location: ***REMOTE Duration: 1 Years Job Summary For the AI Engineer, required skillset are: Databricks, Python (pandas, scikit-learn, NumPy, TensorFlow, MLflow) SQL, and Agentic AI frameworks…
Senior Staff Machine Learning Engineer
Senior Staff ML Engineer to lead the AI behind Altana Nexus, an agentic platform for global trade: building ingestion-to-decision pipelines over shipments and customs data, fine-tuning and evaluating LLMs, and shipping real-time risk/compliance decisions. Core stack is Python/PyTorch with LLM tooling (RAG, agents, vLLM, LangGraph) on cloud data infrastructure.
Staff Machine Learning Engineer
Lead the AI behind Altana Nexus, an agentic platform for global trade: drive architecture and build ingestion-to-decision ML pipelines and LLM agents that turn shipments, customs filings and trade documents into real-time risk, classification and compliance decisions. Core stack is PyTorch, the Python ML ecosystem, and production LLM techniques (RAG, SFT/DPO/RL, evals).
Lead Machine Learning Scientist
Dave vs. Goliath. We’re Dave. Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable,…
Senior Machine Learning Engineer
Build and deploy ML models to enhance SaaS security and governance products, integrating AI into data pipelines and LLM workflows for enterprise clients.
AI/ML Engineering Manager
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs)
The Reality Labs Prototyping team builds the physical hardware behind Meta's XR and wearables research: CNC-machined, 3D-printed and molded parts, made in-house on fast turnarounds. We're looking for a computer vision…
Machine Learning Engineer
Machine Learning Engineer at Orenda (Brooklyn, NY, in-office 5 days/week) building and improving timeseries ML forecasting models for electricity markets and battery energy storage, plus evaluation frameworks and statistical analysis. Core stack: Python with ML frameworks like PyTorch/TensorFlow, cloud computing, and AI-driven coding agents, working with engineers to productionize models.
Software Engineer, AI/ML Infrastructure (US-Based)
Software engineer on Thumbtack's ML Infrastructure team building the internal AI/ML platform — model training and serving systems, feature/data workflows, CI/CD, orchestration, and evaluation tooling — so product teams can ship AI features at scale. Primary stack is Go and Python; role is US remote.
Senior Machine Learning Engineer, Personalization
Senior ML Engineer on Spotify's Personalization team (Growlithe squad) building and improving machine learning models for Search — ranking, backend retrieval, and personalized discovery — while exploring LLM/agentic search experiences. Core stack: Python, modern ML frameworks, large-scale data processing, and experimentation.
AI/Machine Learning Specialist
Leads design and deployment of AI/ML models, prototypes, prompt engineering libraries, and ethical AI frameworks supporting a DoD client (MC&FP), including data pipelines and model governance. Core stack includes Python, TensorFlow, and PyTorch, with DoD ethics/security compliance requirements.
Director, AI/ML Engineering
Directs StockX's AI/ML engineering strategy, leading a team of ML engineers and applied scientists to ship marketplace features like search, recommendations, pricing, fraud, and counterfeit detection. Works hands-on with classical ML, generative AI, computer vision, experimentation/A-B testing, MLOps, and cloud infrastructure (AWS).