
Senior Applied Scientist, Neuro-Symbolic AI Labs
Boston, MAJob$167–226K/yrSeen 3w agoSeen in employer's feed 3 days ago
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Job overview
Amazon is seeking a Senior Applied Scientist to advance neuro-symbolic AI research, creating proof‑assistant‑guided learning systems for diverse scientific and engineering challenges. The role involves defining, designing, and delivering high‑quality scientific artifacts within an agile, startup‑like environment, collaborating closely with academia and internal teams.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.
As a Senior Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
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Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
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Work in an agile, startup-like development environment, where you are always working on the most important stuff.
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Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU).
Basic Qualifications
- PhD or equivalent research experience
Preferred Qualifications
- Experience programming in OCaml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language
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, Santa Clara - 192,200.00 - 260,000.00 USD annually
USA, MA, Boston - 167,100.00 - 226,100.00 USD annually
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