Applied Scientist, AWS AI

At Amazon AI, the Deep Engine Science team is working on machine learning systems to accelerate deep learning workloads on multiple hardware platforms, with the goal of making it easy for our customers to get good execution performance for machine learning models everywhere.

The AWS Deep Engine Science team is growing rapidly to keep up with the latest progress of the machine learning systems field to better serve our customers. We are hiring well-rounded applied scientists and software developers with backgrounds in machine learning, foundation model, compilers, systems, distributed computing, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.

As a machine learning systems developer/researcher, you will work on systematic approaches to improve the performance of deep learning models, with a focus on deep learning compilers such as Apache TVM, and large foundation model training and inference. The work offers an extremely broad set of opportunities to work in full stack with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, Nvidia, AWS Trainium/Inferentia, and emerging edge AI ASICs. Working at the frontier of the field, you will have the opportunity to publish in the top-tier systems and machine learning conferences.

Join the AWS Deep Engine Science team to develop machine learning systems to help AWS customers train and deploy machine learning models in the cloud and on edge devices at scale in production.

Basic Qualifications

* Bachelor/Master's Degree in Computer Science or Engineering
* 4+ years of software development experience in high performance computing, machine learning, systems architecture, compiler, distributed computing, or related areas
* Be familiar with at least one of the following hardware platforms: x86 CPU, ARM CPU, Nvidia GPU, and deep learning accelerator

Preferred Qualifications

* Proven ability to develop and deliver an optimizing compiler for high level / domain specific programming language, such as publication and/or open-source projects
* 6+ years technical leadership role in machine learning, HPC, systems architecture, compiler, distributed computing, or related areas
* PhD in Computer Science


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.