NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs / Machine Learning Engineer in United States of America
25 days ago
Apply with autofill
Apply with autofill
Amazon·E-commerce·25 days ago
25 days ago

Applied Scientist, AWS Science of Security

Arlington, United States of AmericaFull-timeOn-siteMid · 2-5 yearsMachine Learning Engineer

Sign up free to see how well your resume matches this role.

Boost your chances at Amazon

How you compare FREE

?
Your scoreYour score: not yet known
→
68
Top 10%Top 10%: 68 out of 100

Top 10% of NextRaise users matched against Machine Learning Engineer roles in United States.

PDF or DOCX · no account needed

Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

Application deadline: Sep 22, 2026

Applied Scientists in AWS Science of Security are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for security, privacy, and sovereignty.

Key job responsibilities
The successful candidate will:

* Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.
* Own the design, implementation, and delivery for solutions that have a long-term quantifiable impact.
*Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.
* Develop fundamentally new solutions for business problems.

A day in the life
This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.

About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

- PhD or equivalent research experience
- Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.

Preferred Qualifications

- Experience programming in OCaml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, CO, Denver - 142,800.00 - 193,200.00 USD annually
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
E-commerce

Company

AmazonE-commerce
Arlington, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Amazon's careers site·first seen 28 Aug 2026·last verified 17 Sept 2026·How we source jobs

Similar jobs

  • Senior Machine Learning Engineer at athenahealthBoston MA–match not yet calculated
  • Applied Scientist, Responsible AI at AmazonSeattle, United States of America–match not yet calculated
  • Machine Learning Engineer, Monetization AI/ML at OpenAISan Francisco, United States of America–match not yet calculated
  • Director, AI / Machine Learning Data Engineer at BNYNew York, United States of America–match not yet calculated
  • Senior, Machine Learning Engineer - Camera Model at torcroboticsRemote - U.S–match not yet calculated

Browse more jobs

  • Machine Learning Engineer jobs in United States
  • AI / ML Researcher jobs in United States
  • AI Engineer jobs in United States
  • Computer Vision Engineer jobs in United States
  • Machine Learning Engineer jobs in India
  • Machine Learning Engineer jobs in United Kingdom