
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
🌟 Culture
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...
Skills & Technologies
Overview
Amazon is hiring a Machine Learning Compiler Engineer to develop a state-of-the-art deep learning compiler stack. You'll work with frameworks like TensorFlow and PyTorch, optimizing models for AWS's custom Machine Learning accelerators. This position requires experience in compiler technology and deep learning systems.
Job Description
Who you are
You have a strong background in compiler engineering and machine learning, with experience in developing and optimizing compilers for deep learning frameworks like TensorFlow, PyTorch, and JAX. Your expertise in instruction scheduling, memory allocation, and data transfer optimization allows you to tackle complex challenges in compiler technology. You are comfortable collaborating with cross-functional teams, including Runtime, Frameworks, and Hardware, to ensure system-wide performance optimization. You thrive in a fast-paced environment and are eager to contribute to cutting-edge innovations in machine learning.
Desirable
Experience with AWS services and custom hardware accelerators such as Inferentia and Trainium is a plus. Familiarity with graph partitioning and parallel programming will enhance your ability to contribute effectively to the team.
What you'll do
As a Machine Learning Compiler Engineer, you will be instrumental in designing and developing features for our deep learning compiler stack. You will work closely with a talented engineering team to optimize application models across various domains, including Large Language and Vision. Your responsibilities will include tackling crucial challenges in compiler technology, contributing to leading-edge design and research, and collaborating with cross-functional teams to ensure optimal performance of our machine learning systems. You will also engage in hardware-software co-design, working on new hardware bring-up and Instruction Set Architectures to enhance our compiler capabilities.
What we offer
At Amazon, you will be part of a dynamic team that is at the forefront of machine learning innovation. We provide a comprehensive benefits package, including equity and sign-on payments, along with a full range of medical and financial benefits. You will have the opportunity to work on groundbreaking projects that power solutions like Generative AI, making a significant impact in the field of machine learning. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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