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Posted via Amazon Jobs

Applied Scientist, Neuron ARG, Annapurna ML

Posted Aug 7, 2026

Role at a glance

Salary
$171.6K – $222.2K/yr
Location
Seattle, Washington, United States Cupertino, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
4+ years of CS, CE, ML or related field experience
Education
PhD, or Master's degree

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Role Summary

AI-generated

The Automated Reasoning Group within the Amazon Neuron team is seeking an Applied Scientist to improve code quality in a deep learning compiler stack supporting models from frameworks such as PyTorch and JAX. The role focuses on compiler analysis and tooling for ML systems running on the Trainium accelerator, while contributing to research and team mentorship.

What You'll Do

  • Design, develop, and deploy analyzers for ML compiler stages and compiler intermediate representations.
  • Architect and implement business-critical tooling.
  • Publish research in compiler technology and deep-learning systems software.
  • Mentor scientists and engineers.
  • Collaborate with an engineering team on challenges in compiler technology and deep-learning systems software.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Preferred

  • PhD or equivalent research experience

Original job description

Content provided by the employer

The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI.

In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role.

A background in machine learning and AI accelerators is preferred but not required.

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Preferred Qualifications

- PhD or equivalent research experience

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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, CA, Cupertino - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.