AWS SMGS and Global Support

The AWS Sales, Marketing, and Global Services (SMGS) drives revenue, adoption, and growth from small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success, partnering with customers building mission-critical applications on AWS services.

Generative Artificial Intelligence (AI) Innovation Center

The Generative AI Innovation Center team at AWS provides opportunities to innovate with game-changing projects and technologies using generative AI algorithms.

Position: Applied Scientist

As an Applied Scientist, you'll collaborate with technology and business teams to build solutions that surprise and delight customers. We're seeking Applied Scientists skilled in using generative AI and ML techniques to design, evangelize, and implement state-of-the-art solutions for novel challenges.

Key Job Responsibilities

• Collaborate with scientists and engineers to research, design, and develop cutting-edge generative AI algorithms.
• Work across customer engagement to understand and share adoption patterns for generative AI.
• Interact with customers to understand their business problems and aid in implementing generative AI solutions.
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations tailored to various stakeholders.
• Provide feedback to Product and Engineering teams to help define product direction.

A Day in the Life

At AWS, we embrace our differences and are committed to an inclusive culture. We host employee-led affinity groups, offer innovative benefits, and provide learning experiences, including our CORE and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles.

About the Team

We value diverse experiences and encourage candidates to apply regardless of traditional career paths or experiences.

Why AWS?

Amazon Web Services (AWS) is the world’s leading cloud platform, trusted by startups to Global 500 companies. We foster innovation and provide a robust suite of products and services.

Inclusive Team Culture

Our affinity groups foster a culture of inclusion, inspiring us to embrace our uniqueness through ongoing events and experiences.

Mentorship & Career Growth

We strive to be Earth’s Best Employer, offering mentoring and resources to support professional development.

Work/Life Balance

We emphasize work-life harmony and flexibility, supporting our team in achieving success both at work and at home.

What if I Don’t Meet All Requirements?

We hire passionate learners and provide career development opportunities, including formal and informal training, AWS certifications, and mentorship programs.

Basic Qualifications

• 2+ years of experience building machine learning models or developing algorithms for business applications.
• Master's degree in a relevant quantitative field.
• Knowledge of programming languages such as C/C++, Python, Java, or Perl.
• Proven knowledge of deep learning and experience hosting and deploying ML solutions.

Preferred Qualifications

• PhD in a relevant quantitative field.
• Working knowledge of generative AI and experience in prompt engineering, deploying, and hosting Large Foundational Models.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or MXNet.

Acknowledgement of Country

Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea, and community. We pay respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples.

IDE Statement

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on legally protected attributes. Our inclusive culture empowers Amazonians to deliver the best results for customers. Learn more about accommodations during the application and hiring process.