Applied Scientist, Generative Artificial Intelligence (AI) Innovation CenterJob ID: 2828886 | Amazon Web Services Australia Pty Ltd
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms.
As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilitiesCollaborate 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.A day in the lifeHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
BASIC QUALIFICATIONS2+ 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 (e.g., for training, tuning, and inferences).PREFERRED QUALIFICATIONSPhD 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.Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
Posted: October 30, 2024
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