Applied Scientist, AWS SAAR

Leading cloud computing platform providing a wide array of infrastructure and services to businesses globally
$136,000 - $222,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Cybersecurity · Enterprise SaaS

Description For Applied Scientist, AWS SAAR

Amazon Web Services (AWS) is seeking exceptional scientists to join their Security Analytics and AI Research team within AWS Security Services. This role focuses on developing cutting-edge machine learning algorithms for AWS security services like GuardDuty and Security Hub. The position offers a unique opportunity to work on unprecedented security challenges while contributing to AWS's mission of strengthening customer security posture in the cloud.

The role combines advanced machine learning expertise with security applications, requiring both technical depth and innovative problem-solving abilities. You'll be part of a team that values work-life balance and offers flexible scheduling to ensure personal and professional success. The position involves collaborating with various stakeholders, from security engineers to product managers, while working on massively scalable, globally distributed security systems.

AWS provides a supportive environment for career growth, emphasizing knowledge sharing and mentorship. The company's commitment to diversity and inclusion is reflected in their various employee-led affinity groups and learning initiatives. The compensation package is competitive, varying by location, and includes comprehensive benefits.

This role is perfect for candidates passionate about applying machine learning to solve complex security challenges, who thrive in collaborative environments, and want to make a significant impact in cloud security. You'll have the opportunity to work with world-class scientists while developing solutions that protect AWS customers worldwide.

Last updated 2 months ago

Responsibilities For Applied Scientist, AWS SAAR

  • Invent, implement, and deploy state of the art machine learning algorithms and systems for information security applications
  • Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment
  • Collaborate with software engineering teams to integrate experiments into production services
  • Report results in a scientifically rigorous way
  • Interact with security engineers, product managers and domain experts
  • Work closely with a mentor to expand your career with AWS

Requirements For Applied Scientist, AWS SAAR

Java
Python
Linux
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Benefits For Applied Scientist, AWS SAAR

Medical Insurance
Dental Insurance
Vision Insurance
  • Flexible work schedule
  • Work-life balance
  • Mentorship opportunities
  • Career growth opportunities
  • Employee-led affinity groups
  • Inclusive work environment
  • Comprehensive benefits package

Interested in this job?

Jobs Related To Amazon Applied Scientist, AWS SAAR

Senior Software Development Engineer, Alexa Identity - Alexa Connected Devices

Senior Software Engineer role at Amazon's Alexa Identity team, focusing on LLM-based conversational AI development with 5+ years experience required.

Software Engineer- AI/ML, AWS Neuron

Senior Software Engineer role at AWS Neuron team, focusing on ML model development and optimization for cloud-scale machine learning accelerators.

Senior Machine Learning Engineer, Generative AI

Senior ML Engineer role at Amazon focusing on generative AI, LLM runtime systems, and inference optimization, requiring 5+ years of experience.

Sr. Machine Learning Engineer, AGIF | Finetuning

Senior Machine Learning Engineer position at Amazon's AGI Finetuning team, focusing on developing and maintaining AI model evaluation systems.

Sr. Thermal & Mechanical Engineer

Senior Thermal & Mechanical Engineer position at AWS, focusing on hardware design and optimization for cloud infrastructure, requiring 10+ years of experience in thermal and mechanical systems.