ML / AI Jobs in United States
There are 4,347 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 | $191,650 | $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 710 · 16%
- Hybrid 537 · 12%
- Onsite 379 · 9%
Visa sponsorship offered in 63% of the 1,032 postings that state a position on it.
Seniority
- Senior 1,247
- Staff 473
- Lead 223
- Principal 208
- Intern 116
- C-level 58
Who is hiring
- 1000+ employees 1,199
- 501-1000 employees 287
- 11-50 employees 125
- 51-200 employees 103
- 201-500 employees 28
- 1-10 employees 5
Amazon Senior Machine Learning Compiler Engineer
Build and optimize the Neuron compiler to transform ML models (PyTorch, TensorFlow, JAX) for AWS Inferentia/Trainium chips, solving compiler passes and performance tuning for large language and diffusion models.
Amazon Senior Machine Learning Compiler Engineer
Build and optimize a deep-learning compiler stack (AWS Neuron) that converts PyTorch/TensorFlow models into high-performance code for AWS’s custom ML accelerators (Inferentia/Trainium).
Amazon Senior Systems Development Manager, Analytics and Machine Learning
Lead a DevOps team building and operating large-scale cloud infrastructure for AWS analytics and machine learning services, ensuring security, reliability, and scalability.
Amazon Generative AI/Machine Learning Specialist Solutions Architect
Design and advise on AI/ML solutions for AWS customers, leveraging services like SageMaker and Bedrock to build generative AI applications and ML pipelines across industries.
Amazon Senior Machine Learning Software Engineer
Build and optimize low-level compute kernels and inference pipelines for large language models running on custom ML hardware, integrating with frameworks like PyTorch and vLLM.
Amazon Systems Development Engineer, AI/ML (Remote)
Build and operate secure, high-performance cloud systems for government AI/ML workloads in air-gapped regions, using Linux, networking, and AWS services like SageMaker.
Amazon Machine Learning Software Engineer, Data Plane
Builds and optimizes low-level compute kernels and serving infrastructure for large language model inference on custom ML hardware, integrating frameworks like PyTorch and vLLM.
Amazon Senior ASIC Design Engineer, Machine Learning Acceleration
Design and optimize custom silicon for AWS machine-learning servers, implementing high-performance RTL, microarchitecture, and trade-offs to power services like Inferentia.
Amazon Senior Software Development Engineer, Machine Learning Acceleration Hardware/Software Co-design
Design and validate next-gen AI chips by writing bare-metal software and ML workloads to test SoC functionality and performance in a hardware/software co-development role.
Amazon Applied Scientist, Brand Protection Machine Learning
Build AI/ML systems to detect counterfeit and infringing product listings using computer vision, NLP, and LLMs, collaborating with product and engineering teams to deploy solutions at scale.
Amazon Senior Applied Scientist, Machine Learning
Senior Applied Scientist designing and deploying ML compiler analyzers and tooling to optimize deep learning models across frameworks like PyTorch and TensorFlow, working with custom ML accelerators like Inferentia and Trainium.
Amazon Lead Software Development Engineer, Machine Learning Acceleration Systems
Lead a team building bare-metal firmware in C/C++ for custom ML accelerator chips, co-designing hardware/software to optimize neural network execution in AWS servers.
Amazon Senior Laboratory Engineer, Machine Learning Hardware
Build and maintain ML hardware lab infrastructure, automate workflows, and support engineering teams with board bring-up, debugging, and equipment management.
Amazon Software Development Manager, Machine Learning Network Stack
Lead a team building the network stack for EC2’s distributed AI/ML and HPC systems, focusing on RDMA, HPC, and HW/SW co-design to support large-scale ML workloads.
Amazon Delivery Consultant, Artificial Intelligence/Machine Learning
Design and deploy scalable AI/ML and generative AI solutions on AWS for government and enterprise customers, translating business needs into technical implementations and optimizing performance and cost.
Amazon Applied Scientist, Machine Learning
Build and deploy ML models to predict transit times and optimize Amazon’s middle-mile logistics network, impacting billions in decisions.
Amazon Senior AI/ML Specialist Solutions Architect
Design and advise customers on generative AI and ML solutions using AWS services like Amazon Bedrock and SageMaker, including RAG pipelines and agentic workflows.
Machine Learning Software Engineer (Remote)
Build and ship ML infrastructure for autonomous freight systems: multimodal data pipelines, model training/evaluation workflows, and low-latency inference tooling using PyTorch/TensorFlow/JAX.