Principal Applied Scientist, AGI Foundations, AGI Foundations

Amazon•Boston, MA

39d

About The Position

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 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; 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; 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. 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.

Requirements

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.

Nice To Haves

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

Responsibilities

defining key research directions
inventing new machine learning techniques
conducting rigorous experiments
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
build scalable science and engineering solutions
serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance)

Benefits

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information.
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 [https://www.aboutamazon.com/workplace/employee-benefits].
This position will remain posted until filled.
Applicants should apply via our internal or external career site.