Amazon
Amazon Postdoctoral Scientist , AWS - Industry Products
Amazon, Seattle, Washington, us, 98127
Amazon Postdoctoral Scientist, AWS - Industry Products
Job ID: 2710174 | Amazon.com Services LLCThe 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 Amazon's funded and ongoing industry product initiatives. This research will feed directly into Amazon's 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
Basic qualifications include:
PhD in a relevant field, received within 2 years of starting the programProven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fieldsExperience in data science and quantitative researchProficiency in technologies relevant to the subfieldPREFERRED QUALIFICATIONS
Postdocs demonstrate the following preferred job qualifications:
Ability to independently deliver results in a fast-paced environmentPublications at top-tier, peer-reviewed conferences and/or journalsExceptional verbal and written communication skillsExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategiesRequired application materials:
CV, which lists all peer-reviewed publications and conferencesResearch statement that outlines your research achievements and future research interestsA journal article or book chapter that demonstrates your domain expertiseAmazon 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, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2710174 | Amazon.com Services LLCThe 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 Amazon's funded and ongoing industry product initiatives. This research will feed directly into Amazon's 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
Basic qualifications include:
PhD in a relevant field, received within 2 years of starting the programProven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fieldsExperience in data science and quantitative researchProficiency in technologies relevant to the subfieldPREFERRED QUALIFICATIONS
Postdocs demonstrate the following preferred job qualifications:
Ability to independently deliver results in a fast-paced environmentPublications at top-tier, peer-reviewed conferences and/or journalsExceptional verbal and written communication skillsExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategiesRequired application materials:
CV, which lists all peer-reviewed publications and conferencesResearch statement that outlines your research achievements and future research interestsA journal article or book chapter that demonstrates your domain expertiseAmazon 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, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr