Applied Scientist Ii, Next Gen Developer Experience - New York, United States - Amazon Development Center U.S., Inc.

Amazon Development Center U.S., Inc.

Verified Company

New York, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language
Experience in program analysis, program synthesis, or neural deep learning methods and machine learning

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry.

As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS.

Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs to develop groundbreaking generative AI technologies in Amazon Q.

Q is an interactive, AI-powered assistant that touches all aspects of builder and developer experience.

You will be part of the Q Code Analysis team that works at the intersection of code analysis, logical reasoning and machine learning to build and enhance capabilities, safety and security of AI-powered developer tools in Amazon Q.

You will invent, implement, and deploy state-of-the-art algorithms and systems, and be at the heart of a growing and exciting focus area for AWS.

Your work will directly impact millions of our customers in the form of products and services that are based on large language models, retrieval-augmented generation, code analysis, responsible AI, and a lot more.

You will make breakthroughs that challenge the limits of code analysis, machine learning and AI while collaborating with academics and interacting directly with customers to bring new research rapidly to production.

A day in the life

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.

About the team

If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

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 (gender diversity) 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 Amazon offices.

New York, NY, USA

Experience in professional software development
Experience in patents or publications at toptier peerreviewed conferences or journals
Interest in collaborating with a multidisciplinary team of scientists