Amazon
Applied Scientist II, Amazon Q Developer Science
Amazon, San Francisco, California, United States, 94199
Job ID: 3117500 | Amazon Development Center U.S., Inc.
The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker.
Key Job Responsibilities As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
Basic Qualifications
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
5+ years of building models for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Preferred Qualifications
Experience in professional software development
Experience using PyTorch, TensorFlow, or other machine learning frameworks.
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, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr
The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker.
Key Job Responsibilities As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
Basic Qualifications
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
5+ years of building models for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Preferred Qualifications
Experience in professional software development
Experience using PyTorch, TensorFlow, or other machine learning frameworks.
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, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr