Principal Applied Scientist, Artificial General Intelligence

Principal Applied Scientist, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning background to lead the development of industry-leading technology with multimodal systems.

As a Principal Scientist within the AGI organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions, set the standard for scientific excellence, and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization, are willing to change your mind as you learn more, and your artifacts serve as references across the organization. You are a hands‑on scientific leader who develops solutions that exemplify algorithm design, clarity, model structure, efficiency, and extensibility while tackling intrinsically hard problems.

Principal Applied Scientists decompose complex problems into straightforward solutions and amplify impact by leading scientific reviews within the organization or at the location. They scrutinize experimental design, modeling, verification, and research procedures, probe assumptions, illuminate pitfalls, foster shared understanding, align teams toward coherent strategies, and educate the scientific community on advanced techniques and trends. They mentor and play a significant role in hiring and developing other scientists and leads, driving the development of Generative AI technologies that can handle Amazon‑scale use cases and have a significant impact on customers’ experiences.

Key job responsibilities include : defining key research directions, inventing new machine learning techniques, conducting rigorous experiments, ensuring research is translated into practice, developing long‑term strategies, persuading teams to adopt those strategies, proposing goals, and delivering on them. You will also participate in organizational planning, hiring, mentorship, leadership development, build scalable science and engineering solutions, and serve as a key scientific resource in full‑cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance).

Basic Qualifications

• Master’s degree in computer science, engineering, mathematics or equivalent, or PhD.
• Experience in building complex, real‑time systems involving AI, ML, and NLP with successful delivery to customers.
• Experience with project delivery for large, cross‑functional projects with evolving requirements.

Preferred Qualifications

Los Angeles County applicants : Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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, which include the duties and responsibilities listed above and the ability to adhere to company policies, exercise sound judgment, and work safely and respectfully with others.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000  / year in our lowest geographic market up to $309,400  / 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. Depending 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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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