senior Machine Learning Engineer ic · Posted May 1, 2026
$193,300 – $261,500
USD per year

About this role

Amazon is hiring a senior-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Java, C, AWS, TensorFlow. Compensation is listed at $193,300–$261,500 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Cupertino, CA
Department
Software Development
Posted
May 1, 2026

More roles at Amazon

Facilities Coordinator III, NA AMOC
San Jose, Costa Rica · mid
Incident Response
Principal Applied Scientist , Amazon Integrated Security
Virtual Location - Uk, United Kingdom · principal
Security Machine Learning AI Agents
Senior Electronics Technician, Fauna
New York City, NY · senior
Python Testing Full Stack
Sub-Regional EHS Manager II
Maple Grove, MN · manager
Data Analytics
Member Of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR)
San Francisco, CA · mid
Python Java PyTorch
All Amazon jobs →

Job description

from Amazon careers

Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will…

This is an excerpt. Read the full job description on Amazon careers →
All machine learning jobs machine learning in Cupertino, CA Jobs in Cupertino, CA machine learning salaries machine learning career path
All Amazon Jobs Browse machine learning roles senior positions