Amazon Scholar / Visiting Academic Opportunities
Amazon is deeply invested in R&D with hundreds of researchers and applied scientists committed to innovation across every part of the company.
The Amazon Scholars and Visiting Academic programs have broadened opportunities for academics to join Amazon in a flexible capacity, in particular part-time arrangements and sabbaticals.
The program is designed for academics from universities around the globe who want to apply research methods in practice and help us solve hard technical challenges without leaving their academic institutions. We believe that Amazon is a unique place to measure the impact of new scientific ideas, given our scale and our ownership of both an information infrastructure and physical infrastructure. You will have a chance to have a ground-up impact on our systems, our business, and most importantly, our customers, through your expertise.
Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial... Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, Robotics and Sustainability.
Key job responsibilities
As an Amazon Scholar or Visiting Academic, your responsibilities may include:
Advising business leaders on strategic plans
Diving deep to solve a specific technical problem in an organization's roadmap
Advising junior researchers on methods.
BASIC QUALIFICATIONS
PhD in a relevant field or related discipline
5+ years of relevant work or academic experience
Experience leading technical research projects with multiple stakeholders
Current affiliation with an academic or research institution
PREFERRED QUALIFICATIONS
Recognized expert in the external community in relevant discipline and routinely applies knowledge from other disciplines
Publications at top-tier, peer-reviewed conferences and/or journals
Broad knowledge of applied mathematics and foundational understanding of algorithms and computational complexity
Expert-level research analysis and technical leadership capabilities
Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Ability to independently lead research development and analysis in a fast-paced environment
Proven track record of innovation in creating novel technologies and advancing the state of the art
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles 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
The Amazon Scholars and Visiting Academic programs have broadened opportunities for academics to join Amazon in a flexible capacity, in particular part-time arrangements and sabbaticals.
The program is designed for academics from universities around the globe who want to apply research methods in practice and help us solve hard technical challenges without leaving their academic institutions. We believe that Amazon is a unique place to measure the impact of new scientific ideas, given our scale and our ownership of both an information infrastructure and physical infrastructure. You will have a chance to have a ground-up impact on our systems, our business, and most importantly, our customers, through your expertise.
Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial... Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, Robotics and Sustainability.
Key job responsibilities
As an Amazon Scholar or Visiting Academic, your responsibilities may include:
Advising business leaders on strategic plans
Diving deep to solve a specific technical problem in an organization's roadmap
Advising junior researchers on methods.
BASIC QUALIFICATIONS
PhD in a relevant field or related discipline
5+ years of relevant work or academic experience
Experience leading technical research projects with multiple stakeholders
Current affiliation with an academic or research institution
PREFERRED QUALIFICATIONS
Recognized expert in the external community in relevant discipline and routinely applies knowledge from other disciplines
Publications at top-tier, peer-reviewed conferences and/or journals
Broad knowledge of applied mathematics and foundational understanding of algorithms and computational complexity
Expert-level research analysis and technical leadership capabilities
Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Ability to independently lead research development and analysis in a fast-paced environment
Proven track record of innovation in creating novel technologies and advancing the state of the art
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles 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