Applied Scientist, Generative AI Innovation Center

Amazon Web Services Hong Kong Limited-company-logo
Applied Scientist, Generative AI Innovation Center
Amazon Web Services Hong Kong Limited
Data Science
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Job Description
52 days ago
• 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 (e.g., for training, tuning, and inferences)

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 responsibilities

Key job 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 stakeholder
• Provide customer and market feedback to Product and Engineering teams to help define product direction.

A day in the life
Here 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.

About the team
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.

AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and obsessing about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

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 & 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.
• 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
Share to
Amazon Web Services Hong Kong Limited-company-logo
Data Center Infrastructure Engineer
Amazon Web Services Hong Kong Limited
Networking & System Administration
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Amazon Web Services Hong Kong Limited-company-logo
Infrastructure Specialist Solutions Architect
Amazon Web Services Hong Kong Limited
Consulting & System Integration
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Amazon Web Services Hong Kong Limited-company-logo
AI/ML Consultant, Professional Services
Amazon Web Services Hong Kong Limited
Software Engineer
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Amazon Web Services Hong Kong Limited-company-logo
Technical Account Manager
Amazon Web Services Hong Kong Limited
Sales & Account Management
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Amazon Web Services Hong Kong Limited-company-logo
Territory Business Development Manager
Amazon Web Services Hong Kong Limited
Business & Management
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
More jobs like this
Amazon Web Services (AWS)-company-logo
Applied Scientist, Generative AI Innovation Center
Amazon Web Services (AWS)
Central and Western, Hong Kong
AI Research Scientist
JH Partners Asia Company Limited
Central and Western, Hong Kong
AI Research Scientist
JH Partners Asia Company Limited
Central and Western, Hong Kong
ECMS (Asia)-company-logo
GenAI Engineer
ECMS (Asia)
Central and Western, Hong Kong
Captar Partners Limited-company-logo
AI Engineer - Supply Chain and ESG (English Speaker Welcome)
Captar Partners Limited
Central and Western, Hong Kong
ALLSAINTS MUSIC GROUP LIMITED-company-logo
Senior AI Algorithm Researcher
ALLSAINTS MUSIC GROUP LIMITED
Central and Western, Hong Kong