Applied Scientist II, Annapurna ML

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack accelerating customer adoption of Trainium and Inferentia this role you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. Youll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS youll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas:

- AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization
- Machine Learning Compiler: Creating advanced compiler techniques for ML workloads
- System Robustness: Building tools for accuracy and reliability validation
- Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures


A day in the life
AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.


About the team
AWS Neuron is the software of Trainium and Inferentia the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud and its all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa Amazon Bedrocks Amazon Robotics Amazon Ads Amazon Rekognition and many more.


- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience building machine learning models or developing algorithms for business application

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 171600.00 - 222200.00 USD annually