Amazon
Company
Principal Applied Scientist , Deep Science for Systems & Services
US, CA, Santa Clara
Job Description
This job posting has expired and no longer accepting applications.
AWS AI/ML is looking for world class scientists and engineers to work on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
Hardware-informed efficient model architecture, training objective and curriculum design
Distributed training, accelerated optimization methods
Continual learning, multi-task/meta learning
Reasoning, interactive learning, reinforcement learning
Robustness, privacy, model watermarking
Model compression, distillation, pruning, sparsification, quantization
A day in the life
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 start-ups 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 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.
Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
Hardware-informed efficient model architecture, training objective and curriculum design
Distributed training, accelerated optimization methods
Continual learning, multi-task/meta learning
Reasoning, interactive learning, reinforcement learning
Robustness, privacy, model watermarking
Model compression, distillation, pruning, sparsification, quantization
A day in the life
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 start-ups 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 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.
Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!
Amazon
268 jobs posted
About the job
Similar Jobs
Discover more opportunities that match your interests
- 19 days ago
Principal Applied Scientist - Privacy, Privacy Engineering
Amazon
US, WA, SeattleView details - 13 days ago
Principal Applied Scientist, AGI Foundations, AGI Foundations
Amazon
US, CA, SunnyvaleView details - 13 days ago
Principal Applied Scientist, Artificial General Intelligence
Amazon
US, CA, SunnyvaleView details - 26 days ago
Applied Scientist, Artificial General Intelligence - Data Services
Amazon
US, MA, BostonView details - 10 days ago
Principal Applied Scientist, Sponsored Products and Brands
Amazon
US, WA, SeattleView details - 25 days ago
Senior Applied Scientist, Artificial General Intelligence - Data Services
Amazon
US, MA, BostonView details - 25 days ago
PRINCIPAL, DATA SCIENTIST
Walmart
IN KA BANGALORE Home Office PTPP1View details - 22 days ago
Principal Data Scientist
Visa
Foster City, CA, USView details - 27 days ago
Applied Research Scientist, AI for Project Aria (PhD)
Meta
Sunnyvale, CA, Redmond, WAView details - 24 days ago
Editorial, AI for Science
Anthropic
RemoteView details
View all Data Science jobs
Looking for something different?
Browse all AI jobs