Job Description

Do you want to work hard, have fun, and make history? Do you think fast, dive deep, and get things done? We\xe2\x80\x99re looking for someone to join a team building zero trust tools for AWS customers. As a member the AWS Identity. team, you\xe2\x80\x99ll work on the core capabilities customers use to secure their most important infrastructure. Our team is building a new security and access management capability within AWS. This is your chance to help create the tools AWS customers will use to establish a zero trust environment for their employees, customers, and partners.

As an Applied Scientist, you will be responsible for researching, designing, developing, testing, and deploying data analysis for access control systems. You will collaborate closely with a team engineers and scientists to influence our overall strategy and define the team\xe2\x80\x99s roadmap. You will also drive the scientific vision, spearhead best practices that enable a quality product, and help coach and develop junior scientists. A successful candidate will have an established background in applying scientific techniques to large systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

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\xe2\x80\x99t about how many hours you spend at home or at work; it\xe2\x80\x99s 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\xe2\x80\x99re 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.

Key job responsibilities
As an Applied Scientist III, you will be designing the analysis features of a new security and access management capability. You will contribute to the design of these components and work closely with other scientists and engineers on the team to deliver a reliable, scalable service. You will have the opportunity to mentor junior scientists and help them be successful.

A day in the life
This is a unique and rare opportunity to help shape the technology, product and business. You will have a chance to utilize your technical experience to make an impact for AWS customers.

About the team
Automated Reasoning in Identity (ARI) develops tools designed to answer questions about the future behavior of computer systems: what they might do, what they will do, or what they can never do.
https://aws.amazon.com/security/provable-security/

We are open to hiring candidates to work out of one of the following locations:

Minneapolis, MN, USA

BASIC QUALIFICATIONS - PhD, or Master\'s degree and 10+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- At least 6 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and theorem proving

PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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. Applicants should apply via our internal or external career site.

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