About the role

What will you do at Amazon?

We are looking for Machine Learning Engineers (MLE) who aim to build

super-intelligent AI systems that leverage proof assistants to guide learning

and reasoning. Our neuro-symbolic AI technology is applied across a wide range

of science and engineering domains within Amazon, and you will join the team at

the forefront of this research.

As a Senior MLE, you will play a pivotal role in shaping the definition, vision,

and development of product features from beginning to end. You will:

- Define and implement new neuro-symbolic applications that employ scalable and

efficient approaches to solve complex problems.

- Work in an agile, startup-like development environment, where you are always

working on the most important stuff.

- Deliver high-quality scientific artifacts.

About the team

We work closely with academia. Our team includes an Amazon Scholar in

mathematics, and we maintain active research collaborations with faculty at

leading CS departments (MIT, CMU). Basic

Qualifications

- 5+ years of
non-internship professional software development experience
- 5+ years of programming with at least one software programming language
experience
- 5+ years of leading design or architecture (design patterns, reliability and
scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team Preferred

Qualifications

- 5+ years of full software development life cycle, including
coding standards, code reviews, source control management, build processes,
testing, and operations experience
- Bachelor's degree in computer science or equivalent
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
[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
[https://amazon.jobs/en/benefits].
USA, MA, Boston - 168,100.00 - 227,400.00 USD annually

Which skills does this role require?

Machine learningNeuro-symbolic AISystem architectureProof assistantsAgile methodologyMentoringTechnical leadershipSoftware design patternsSystem reliabilitySystem scalingMachine LearningSoftware EngineeringProof AssistantsArtificial IntelligenceSystem ArchitectureAgileMentorshipTechnical LeadScalabilityReliabilityMathematicsResearch

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