
Applied Scientist, Neuron ARG, Annapurna ML
Seattle, WAJob$143–193K/yrSeen 1mo agoSeen in employer's feed 6 days ago
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At a glance
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Job overview
Amazon’s Automated Reasoning Group is seeking an Applied Scientist to develop analyzers for machine-learning compiler stages and intermediate representations. The role includes architecting and implementing tooling, publishing research, and mentoring scientists and engineers while contributing to compiler technology and deep-learning systems software. Experience in programming languages, compilers, program analysis, theorem proving, and program synthesis is beneficial; a machine-learning or AI-accelerator background is preferred but not required.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
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
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PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
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Experience in patents or publications at top-tier peer-reviewed conferences or journals
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Experience programming in Java, C++, Python or related language
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in computer science, computer engineering, or related field
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
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$143–193K/yr
- Washington median$143–226K/yr242 salary ranges
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $168K, is 15% below the Washington median midpoint ($197K) — in the middle half of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 248 open Applied Scientist jobs in Washington and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)195 open
- Microsoft Corporation23 open
- Oracle8 open
- Experience
- This posting asks for at least 4 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (918 postings).
- Education
- 582 of the 1,075 open Applied Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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