Applied AI Researcher

1 month ago

North Sydney Council, Australia Amazon Web Services Australia Pty Ltd - D81 Full time

About the Role

We are seeking an exceptional Applied Scientist to join our Generative AI Innovation Center team at Amazon Web Services Australia Pty Ltd - D81. As an Applied Scientist, you will partner with technology and business teams to build innovative solutions that surprise and delight our customers.

Key Responsibilities

  • Collaborate with scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
  • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
  • Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI.
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
  • Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the Team

Our team is passionate about leveraging generative AI to drive innovation and customer success. We value diverse experiences and encourage candidates from all backgrounds to apply. If you're a curious and collaborative individual with a passion for AI, we'd love to hear from you.

What We Offer

  • A dynamic and supportive team environment.
  • Opportunities for career growth and development.
  • A comprehensive benefits package.
  • Access to cutting-edge technology and tools.

Requirements

  • 2+ years of building machine learning models or developing algorithms for business application experience.
  • Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent 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 engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
  • Working knowledge of generative AI and hands-on experience in prompt engineering, deploying, and hosting Large Foundational Models.
  • Hands-on experience building models with deep learning frameworks like TensorFlow, PyTorch, or MXNet.

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 empowers 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.

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