Senior Applied Scientist Global Runtime infrastructure for developers
Senior Applied Scientist Global Runtime infrastructure for developers
Posted on :
13-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
13-04-2025
Job Description
The Builder Studio team is looking for a talented Senior Applied Scientist with expertise in Large Language Models (LLMs) and multimodal AI systems. You will develop algorithms and techniques to address our core challenges around data quality AI agent orchestration with appropriate guardrails and optimizing resourceintensive AI workloads across infrastructure stacks.
Key job responsibilities
As a Senior Applied Scientist you will research and develop AI techniques to enhance knowledge retrieval visualization and representation. You will design systems that reduce errors in AI outputs and build frameworks to evaluate model performance. The role involves creating methods for efficient AI deployment across infrastructure stacks developing agent orchestration mechanisms with appropriate guardrails and implementing resource optimization algorithms for complex AI workloads. You will collaborate with engineering teams to transition research innovations into production systems that deliver real impact.
About the team
The Builder Studio team is building a nextgeneration platform that combines advanced knowledge retrieval with AI orchestration to improve developer workflows. Our team is tackling three key challenges: establishing data quality baselines and metrics orchestrating and managing interactions with required guardrails between specialized AI agents deployed across different stacks of the infrastructure and maintaining hosting and scaling demands of resourceintensive AI workloads and their associated computational needs. We bring together specialists in machine learning distributed systems and developer experience to build scalable solutions that make AI more accessible reliable and useful for builders across the organization. We focus on transforming research techniques into robust productionready systems that deliver measurable impact.
3 years of building machine learning models for business application experience
PhD or Masters 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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Key job responsibilities
As a Senior Applied Scientist you will research and develop AI techniques to enhance knowledge retrieval visualization and representation. You will design systems that reduce errors in AI outputs and build frameworks to evaluate model performance. The role involves creating methods for efficient AI deployment across infrastructure stacks developing agent orchestration mechanisms with appropriate guardrails and implementing resource optimization algorithms for complex AI workloads. You will collaborate with engineering teams to transition research innovations into production systems that deliver real impact.
About the team
The Builder Studio team is building a nextgeneration platform that combines advanced knowledge retrieval with AI orchestration to improve developer workflows. Our team is tackling three key challenges: establishing data quality baselines and metrics orchestrating and managing interactions with required guardrails between specialized AI agents deployed across different stacks of the infrastructure and maintaining hosting and scaling demands of resourceintensive AI workloads and their associated computational needs. We bring together specialists in machine learning distributed systems and developer experience to build scalable solutions that make AI more accessible reliable and useful for builders across the organization. We focus on transforming research techniques into robust productionready systems that deliver measurable impact.
3 years of building machine learning models for business application experience
PhD or Masters 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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
