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Principal Applied Scientist, Artificial General Intelligence Job ID: | Amazon.com Services LLC - A57 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 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 will solicit differing views across the organization and be willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands‑on scientific leader, developing 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; and 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). 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 with 10+ years of combined academic and research experience. First‑author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top‑tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Excellent written and spoken communication skills with successful delivery to customers. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 . 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. #J-18808-Ljbffr
