Core to Amazons DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas technologies and business models in a realworld environment. AWS Specialist Prototyping team provides handson support to qualified customers & partners to discover the art of the possible with AWS and accelerate their path to production.
If you are a highly creative problem solver who works to inspire motivate and define innovative solutions; are passionate about technology understand cloud architectures & platforms and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches and validate the technical feasibility of solutions this could be the role for you!
Key job responsibilities
A Sr. Applied Science Manager in the AWS Specialist Prototyping team sets the science direction for the team on emerging tech that represents the most innovative and challenging use cases for our customers. They ensure the success of this unique customer facing applied science team by serving as the engagement manager responsible for sourcing qualifying scoping executing delivering and transitioning Prototyping engagements. They drive science prototypes that have a high degree of ambiguity scale and complexity. They provide technical and science leadership related to large language models generative multimodal models and computer vision. They recruit high performing Applied Scientists to the team and provide mentorship. They establish team mechanisms including team building planning and document reviews.
A day in the life
Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its in our nature to learn and be curious. Our employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales Marketing and Global Services (SMGS) which is responsible for driving revenue adoption and growth from the largest and fastest growing small and midmarket accounts to enterpriselevel customers including public sector. We work backwards from our customers most complex and business critical problems to build and execute gotomarket plans that turn AWS ideas into multibilliondollar businesses. WWSO teams include business development specialist and technical solutions architecture. As part of WWSO youll provide expertise across the entire life cycle of an AWS customer initiative from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big delivering exceptional results for our customers and working across AWS as #OneTeam.
Within WWSO the AWS Specialist Prototyping teams mission is to accelerate customer innovation by transforming complex business challenges into novel AWS solutions through rapid prototyping and experimentation.
Get a sample of the work we have done with customers here:
Large language models we have created are here: https://huggingface/awsprototyping/
Experience in natural language processing machine learning or a related field.
Experience leading and managing AI/ML science teams.
Applied AI/ML experience in deploying ML solutions to customer business challenges
Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
Masters/PhD in Computer Science Statistics or related field (or relevant experience)
Exceptional customer relationship skills including the ability to engage customer technical and business executives discover the true requirements and recommend alternative technical and business approaches.
Experience with building and fine tuning ML models including large language models for business applications
Published research work in academic/industry conferences and via open source
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.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation disability age or other legally protected attributes.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
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