Amazon Principal Applied Scientist AGI Foundations 

United States, California, Sunnyvale 

552013650

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 help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically strong and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Excellent written and spoken communication skills

10+ years of relevant, broad research experience after PhD degree or equivalent. Strong software development skills Experience working effectively with science, data processing, and software engineering teams Proven track record of innovation in creating novel algorithms and advancing the state of the art Entrepreneurial spirit combined with strong architectural and problem solving skills