Senior Applied Scientist

Job ID: 1542297 | Amazon Web Services, Inc.

DESCRIPTION

Description
AWS Analytics is looking for scientists and engineers to invent the future of its cloud offerings. As a Senior Applied Scientist, you will have the fortunate opportunity to listen to a wide variety of customer problems, to imagine new capabilities that extend the state of the art in algorithms and machine learning, to implement and test your solutions on enormously large datasets, and to participate in the scientific community through patents and publications.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.



BASIC QUALIFICATIONS

· PhD in Computer Science, Statistics, Math, Electrical Engineering or Physics
· 5+ years of industrial/academic experience in AI/ML
· Coding proficiency in at least one modern programming language (Python, Java, C++, etc.)

PREFERRED QUALIFICATIONS

· PhD in Computer Science, Statistics, Math, Electrical Engineering or Physics
· Ability to listen to vague customer problems, and abstract into concrete technical questions
· Experience building cloud services
· Ability to work in a fast paced environment
· Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
· Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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