Applied Scientist - M13 Team

About the Team

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

Job Description

We're looking for an Applied Scientist who is passionate about the security domain. You will build services and tools for security engineers and developers that leverage artificial intelligence and machine learning to pull unique insights about the cyber threat landscape. You will be part of a team building Large Language Model (LLM)-based services with the focus on enabling AWS teams to interact with our threat data.

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Key Job Responsibilities

• Understand the challenges that security engineers and developers face when building software today, and develop generalizable solutions.
• Collaborate with the team to pave the way towards bringing your solution into production systems. Lead cross-team projects and ensure technical blockers are resolved.
• Communicate and document your research via publishing papers in external scientific venues.

About the Team

• We're a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles.
• We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

Why AWS

• Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.
• We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

Work/Life Balance

• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

Inclusive Team Culture

• Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth

• We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Locations

• We are open to hiring candidates to work out of one of the following locations:
  • Seattle, WA, USA

Nice to Have

• 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.

Equal Opportunity Employer

• 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.

Compensation

• 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.