Description

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, including support for customers who require specialized security solutions for their cloud services.

Come shape the future with us! As a major cloud provider, our technology powers many of the world's largest organizations. We are now building a new and exciting Generative AI application that will transform how enterprises operate.

You will have the exciting opportunity to be on the ground floor of developing this cutting-edge product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of what's possible with AI. Our team collaborates closely across roles to rapidly build, test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI.

Key job responsibilities

A Senior Research Engineer in the AWS AI team has the following responsibilities:

• Define, design and lead the development of tools that accelerate the science experimentation and delivery process

• Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate

• Advise and drive implementation for research projects and act as a bridge between science and engineering for eventual productization of new algorithms

• Lead other research engineers in their day to day activities

• Handle and implement code for training and evaluation, apply and adapt known science methods

About the team

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. 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 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.

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.

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 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.

Basic Qualifications

• 6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 4+ 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

• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

• Bachelor's degree in computer science or equivalent

Preferred Qualifications

• Master's degree in computer science or equivalent