Senior Applied Scientist, StoreGen
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
Join our Generative AI focus team to revolutionize Software Development at Amazon
Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale.
Our Mission
We're creating the next generation of development tools and practices that will deliver unprecedented efficiency gains through AI-powered automation, intelligent code generation, and advanced developer experiences.
What Makes Us Different
* Ground-floor opportunity to shape the future of software development
* Direct impact on Amazon's global engineering productivity
* Working with the latest AI technologies and large language models
* Culture of experimentation and innovative thinking
What We're Looking For
We are looking for world class researchers with experience in one or more of the following areas -
autonomous agents, conversational AI, API orchestration, Planning, RAG, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
What You'll Do
* Design and implement AI-powered development tools and frameworks
* Create intelligent automation systems for code generation and testing
* Develop new methodologies for AI-assisted software development
* Collaborate with teams across Amazon to drive adoption of new tools and practices
Impact
Your work will directly influence how Amazon's vast engineering organization builds software, enabling faster, more reliable software delivery.
Join us in writing the next chapter of software engineering history. The future of development is AI, and it starts here.
and yes, what you just read was written in 15 seconds using AI...
#AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTech
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with conducting research in a corporate setting
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale.
Our Mission
We're creating the next generation of development tools and practices that will deliver unprecedented efficiency gains through AI-powered automation, intelligent code generation, and advanced developer experiences.
What Makes Us Different
* Ground-floor opportunity to shape the future of software development
* Direct impact on Amazon's global engineering productivity
* Working with the latest AI technologies and large language models
* Culture of experimentation and innovative thinking
What We're Looking For
We are looking for world class researchers with experience in one or more of the following areas -
autonomous agents, conversational AI, API orchestration, Planning, RAG, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
What You'll Do
* Design and implement AI-powered development tools and frameworks
* Create intelligent automation systems for code generation and testing
* Develop new methodologies for AI-assisted software development
* Collaborate with teams across Amazon to drive adoption of new tools and practices
Impact
Your work will directly influence how Amazon's vast engineering organization builds software, enabling faster, more reliable software delivery.
Join us in writing the next chapter of software engineering history. The future of development is AI, and it starts here.
and yes, what you just read was written in 15 seconds using AI...
#AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTech
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with conducting research in a corporate setting
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.