Overview
On Site
USD 136,000.00 per year
Full Time
Skills
Art
Natural language processing
Problem solving
Deep learning
Design
Documentation
Artificial intelligence
Orchestration
Planning
Reasoning
Research
Data
Teamwork
Streaming
Communication
Science
Amazon S3
Amazon EC2
Unified communications
Management
Database
Storage
IoT
Productivity
Startups
Knowledge sharing
Mentorship
Cloud computing
Innovation
FOCUS
Collaboration
Copy editing
Customer engagement
Machine Learning (ML)
Business software
Patents
Publications
Java
C++
Python
Algorithms
Data structure
Optimization
Data mining
Distributed computing
High performance computing
Unix
Linux
Software development
SAP BASIS
Amazon Web Services
Payments
Forms
Finance
Job Details
An Applied Scientist in the Amazon Q for Business team is a significant and autonomous contributor who can push the envelope in a broad variety of areas related to deep learning, Retrieval Augmented Generation, natural language processing (NLP) research, and multimodal search and questin answsering. The Applied Scientist can transfer state-of-the-art research to solve real-world challenges on our customers' behalf. The Applied Scientist II should have substantial hands-on experience with deep neural network based machine learning (ML) strong NLP or multimodal problem solving skill. The Applied Scientist should closely follow the latest advances in the academic field, while staying current with the development of LLM and deep learning multimodal models across the company.
The Science team is responsible for the design, implementation and improvement of all the technologies at the foundation of Amazon Q for Business, including 1/ search and retrieval of textual, semistructured data (rich documents), structured data, and multimodal data; 2/ extractive and abstractive question answering over text, structure data and multi-modal sources; 3/ conversational AI, including interaction modes beyond simple text; 4/ Orchestration across a large number of applications connected to a LLM via plugins or agents, including planning to fulfill the user needs by combining multiple steps possibly across different applications; 5/ Reasoning, to extract complex insights from the appropriate data.
Key job responsibilities
An Applied Scientist should be able to independently execute complex research plans, and deliver high-quality results in the form of faithfully implemented models, well-designed and properly executed experiments, insightful analysis of data, and concise and accurate communication of conclusions.
The Applied Scientist should have excellent teamwork skills, as the complexity and breadth of the Amazon Q for Business requires frequent interactions with other Scientists working in different work streams, as well as with Scientists from other projects with whom we collaborate on areas of common interest. Additionally, the Applied Scientist will regularly participate in meetings and discussions with Engineering and Product partners, and needs excellent communication skills to collaborate with colleagues with different backgrounds and skill sets.
The Applied Scientist will engage in long-term projects, and, at the same time, customer obsession and bias for action will require diving deep in customer issues, provide suggestions to Engineering for short term mitigation, and formulate principled solutions for longer term investigation..
Applied Scientists are expected to actively engage the Science community within and beyond Amazon. They should actively publish their work, either as patents or as scientific papers at top-tier conferences. They should also help mentor junior and peer scientists or interns, within and across teams in Amazon.
About the team
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ 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
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit ;br>
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 $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Science team is responsible for the design, implementation and improvement of all the technologies at the foundation of Amazon Q for Business, including 1/ search and retrieval of textual, semistructured data (rich documents), structured data, and multimodal data; 2/ extractive and abstractive question answering over text, structure data and multi-modal sources; 3/ conversational AI, including interaction modes beyond simple text; 4/ Orchestration across a large number of applications connected to a LLM via plugins or agents, including planning to fulfill the user needs by combining multiple steps possibly across different applications; 5/ Reasoning, to extract complex insights from the appropriate data.
Key job responsibilities
An Applied Scientist should be able to independently execute complex research plans, and deliver high-quality results in the form of faithfully implemented models, well-designed and properly executed experiments, insightful analysis of data, and concise and accurate communication of conclusions.
The Applied Scientist should have excellent teamwork skills, as the complexity and breadth of the Amazon Q for Business requires frequent interactions with other Scientists working in different work streams, as well as with Scientists from other projects with whom we collaborate on areas of common interest. Additionally, the Applied Scientist will regularly participate in meetings and discussions with Engineering and Product partners, and needs excellent communication skills to collaborate with colleagues with different backgrounds and skill sets.
The Applied Scientist will engage in long-term projects, and, at the same time, customer obsession and bias for action will require diving deep in customer issues, provide suggestions to Engineering for short term mitigation, and formulate principled solutions for longer term investigation..
Applied Scientists are expected to actively engage the Science community within and beyond Amazon. They should actively publish their work, either as patents or as scientific papers at top-tier conferences. They should also help mentor junior and peer scientists or interns, within and across teams in Amazon.
About the team
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ 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
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit ;br>
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 $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.