Principal Applied Scientist, AGI FoundationsAs 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.You 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 and are 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. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.You 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 ResponsibilitiesDefine key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring 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.Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).Basic Qualifications5+ years of hands-on work in predictive modeling and analysis experiencePhD in Electrical Engineering, Computer Science, Mathematics, or a related technical fieldExperience working in predictive modeling and analysisExperience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectivesExperience programming in Java, C++, Python or related languageExperience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environmentPreferred Qualifications10+ years of relevant work in industry or academia experienceKnowledge of problem solving, algorithm design and complexity analysisExperience creating novel algorithms and advancing the state of the artHave peer-reviewed scientific contributions in premier journals and conferencesAmazon 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.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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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