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Applied Scientist

Applied Scientist

Job ID 
Posted Date 
Amazon Web Services, Inc.
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

Amazon Web Services is looking for an individual with experience applying machine learning to large scale data sets. We are looking for a candidate that would like to apply this expertise to implement core technology for a customer facing service. If you are interested in researching, designing and implementing innovative solutions for never-before-solved problems, this will be an exciting opportunity.

The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.

Key Responsibilities:
· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment
· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.
· Report results in a matter that is statistically rigorous
· Interact with Security Engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for

Basic Qualifications

  • PhD or Masters' degree
  • Experience utilizing problem solving and analytical skills
  • Excellent written and verbal communication skills
  • This role is Seattle based

Preferred Qualifications

  • Graduate degree preferably in machine learning, statistics or a related quantitative field
  • Expertise in Optimization
  • Expertise in Stochastic Processes
  • Ability to develop system prototypes
  • Proficiency in one or more object oriented programming languages such as Java, C++ or Python
  • Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from various sources.
  • Eager to learn new algorithms, new application areas and new tools
  • Desire and energy to work in a fast-paced environment
  • Domain experience with threat detection techniques
  • Track record of developing novel algorithms to help detect stealthy zero-day attacks 5+ years of relevant experience in industry