Principal Applied Scientist, AGI Foundations, AGI Foundations

Principal Applied Scientist, AGI Foundations Job ID: 3127969 | Amazon.com Services LLC As a Principal Scientist within the Artificial General Intelligence (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. A Principal Applied Scientist solicits differing views across the organization and is willing to change views as they learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands‑on scientific leader; develop solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility; and tackle intrinsically hard problems, acquiring expertise as needed. Principal Applied Scientists are expected to decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location; scrutinize and review experimental design, modeling, verification and other research procedures. You also probe assumptions, illuminate pitfalls, and foster shared understanding; align teams toward coherent strategies; and educate keeping the scientific community up to date on advanced techniques, state‑of‑the‑art approaches, the latest technologies, and trends. AGI Principal Applied Scientists help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon‑scale use cases and have a significant impact on our customers' experiences. Key job responsibilities Define key research directions, invent new machine learning techniques, conduct rigorous experiments, and ensure that research is translated into practice. Develop long‑term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Build scalable science and engineering solutions, and serve as a key scientific resource in full‑cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). A day in the life Full‑time engagement working with cross‑functional teams, leading research initiatives, mentoring junior scientists, coordinating with product and engineering stakeholders, and driving GenAI research efforts across Amazon’s global scale. About the team Amazon’s AGI team is focused on building foundational AI to solve real‑world problems at scale, delivering value to all existing businesses in Amazon, and enabling entirely new services and products for people and enterprises around the world. 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 PhD with specialization in Artificial Intelligence, Natural Language Processing, Machine Learning, or Computational Cognitive Science. 10+ years of combined academic and research experience. First author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, or neural network architectures in top‑tier journals and conferences. Functional thought leader and sought after for key tech decisions. Experience influencing decisions at an executive level. Experience mentoring and training the research scientist community on complex technical issues. >Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Excellent written and spoken communication skills with successful delivery to customers. 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 working 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. 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. Dependent 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. #J-18808-Ljbffr