ML / AI Jobs in United States
There are 4,262 open ML / AI jobs in United States on freehire right now. 799 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 | $190,600 | $223,000 | $256,500 | 1,033 |
| 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 26%
How the work is done
- Remote 693 · 16%
- Hybrid 531 · 12%
- Onsite 383 · 9%
Visa sponsorship offered in 63% of the 1,014 postings that state a position on it.
Seniority
- Senior 1,214
- Staff 466
- Lead 218
- Principal 205
- Intern 104
- C-level 58
Who is hiring
- 1000+ employees 1,182
- 501-1000 employees 278
- 11-50 employees 127
- 51-200 employees 101
- 201-500 employees 26
- 1-10 employees 5
Machine Learning Engineer - Associate
Develops advanced deep learning models for computer vision, SAR, and geospatial analysis to solve national security challenges, focusing on object detection, classification, and physics-based simulations for government applications.
On-device ML Performance Engineer, Graphics, Games and Machine Learning
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
Machine Learning Engineer
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Senior Machine Learning Engineer
Senior ML Engineer building novel geospatial analytics, change detection, and computer vision models for Defense and Intelligence applications using Python, PyTorch/TF, and cloud infrastructure (AWS/GCP) at a satellite imagery company.
Software Engineer - Applied Machine Learning & Localization
Build and deploy LLM/NLP-based localization tooling and features for Apple's software products, working across Xcode frameworks and internal translation pipelines using PyTorch, TensorFlow, Python, and Swift.
AI/ML Engineer
AI/ML Engineer responsible for building, deploying, and monitoring ML models—including RAG architectures, computer vision, and multimodal AI agents—in cloud production environments.
HomeKit Machine Learning Engineer
Builds and deploys ML models (focusing on computer vision) to enhance HomeKit’s smart home ecosystem, optimizing pipelines for training, inference, and product shipping.
AI/ML Engineer
Builds AI/ML models for construction site video data to extract actionable insights; works with VLMs, LLMs, and RAG to solve site challenges.
Machine Learning Evaluation Engineer
Design and implement evaluation frameworks for ML and computer vision models, analyze failures, and build scalable tools to ensure robust real-world performance.
Machine Learning Engineer, Apple Search & Knowledge Platforms
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
AI/ML Performance Analysis and Validation Engineer
Develops and validates performance models for AI/ML applications on Apple Silicon, analyzing hardware-software interactions to optimize future hardware architectures and influence next-gen AI/ML systems.
Engineer II - Machine Learning
Build and scale ML feature pipelines in Snowflake/Snowpark and Databricks, productionize batch/real-time inference, and implement MLOps/LLMOps to drive measurable business impact.