Senior Applied Scientist, Neuro-Symbolic AI Labs

Amazon • Boston, MA

2d • Hybrid

About The Position

We are looking for researchers 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 an Applied Scientist here, 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, Berkeley, CMU).

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.

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. Ongoing events and learning experiences, including our
Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us
to never stop embracing our uniqueness.

Mentorship & 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.

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. When we feel supported in the workplace and at home,
there’s nothing we can’t achieve in the cloud.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to
focus on a build. We also value in-person collaboration and time spent
face-to-face. Our team affords employees options to work in the office every day
or in a flexible, hybrid work model near one of our U.S. Amazon offices.

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

Nice To Haves

• Demonstrated research experience in top ML conferences

Responsibilities

• 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree