Amazon Postdoctoral Scientist , AWS Industry Products
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Postdoc for this role will research safety and efficiency aspects of generative AI for industries. From the safety perspective the postdoc will research and present (internally and externally) a novel contribution to hallucination reduction model/data/prompt safety or privacy-preserving training or fine-tuning methods with direct applications in one of our core industry segments. From the efficiency perspective the postdoc will research and present a novel contribution to training fine-tuning or operationalization methods that reduce cost memory or carbon footprint of foundation models with a demonstration of its application in one of our core industry segments.
Key job responsibilities
This is a unique opportunity for a Postdoc to spearhead the effort to address safety and efficiency challenges behind adopting generative AI for Amazons funded and ongoing industry product initiatives. This research will feed directly into Amazons generative AI product strategies and features with industry customers and AIP segments.
About the team
The AWS Industry Products (AIP) team directly collaborates with strategic customers to build new industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems and build products through fast iteration in a start-up like environment. AIP SCIFI team was formed to empower our customers to make better data-driven decisions by leveraging data science techniques such as ML and optimization.
Basic qualifications include:
- PhD in a relevant field received within 2 years of starting the program
- Proven publication record in Operation Research Management Science Statistics Machine Learning Computer Science Econ or other related technical fields
- Experience in data science and quantitative research
- Proficiency in technologies relevant to the subfield
Postdocs demonstrate the following preferred job qualifications:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Required application materials:
- CV which lists all peer-reviewed publications and conferences
- Research statement that outlines your research achievements and future research interests and
- A journal article or book chapter that demonstrates your domain expertise.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
This is a unique opportunity for a Postdoc to spearhead the effort to address safety and efficiency challenges behind adopting generative AI for Amazons funded and ongoing industry product initiatives. This research will feed directly into Amazons generative AI product strategies and features with industry customers and AIP segments.
About the team
The AWS Industry Products (AIP) team directly collaborates with strategic customers to build new industry-specific products that directly impact and transform industries at AWS scale. We are a team of innovators that tackle difficult problems and build products through fast iteration in a start-up like environment. AIP SCIFI team was formed to empower our customers to make better data-driven decisions by leveraging data science techniques such as ML and optimization.
Basic qualifications include:
- PhD in a relevant field received within 2 years of starting the program
- Proven publication record in Operation Research Management Science Statistics Machine Learning Computer Science Econ or other related technical fields
- Experience in data science and quantitative research
- Proficiency in technologies relevant to the subfield
Postdocs demonstrate the following preferred job qualifications:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Required application materials:
- CV which lists all peer-reviewed publications and conferences
- Research statement that outlines your research achievements and future research interests and
- A journal article or book chapter that demonstrates your domain expertise.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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