Sr. Applied Scientist, Machine Learning University (MLU)
Sr. Applied Scientist, Machine Learning University (MLU)
Posted on :
25-07-2025
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1 Vacancy
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Job Description
The Machine Learning University (MLU) at Amazon drives the advancement of AI/ML adoption across the company. Our mission is to build a thriving community of AI/ML practitioners through comprehensive machine learning and generative AI training programs. We offer diverse technical tracks in generative AI core ML techniques and Deep Learning while fostering innovation and best practices via showcasing AI advancements across Amazon.
In light of the transformative advances in Generative and Agentic AI we are seeking an Applied Scientist with expertise in these technologies and a proven track record of practical ML solutions. A key aspect of this role involves writing and maintaining reliable code that serves as the foundation for various AI projects and training programs across Amazon. You will need to stay continuously engaged with the rapidly evolving AI landscape maintain strong connections with both internal and external ML experts and effectively educate Amazons technical and non-technical communities on these advances.
The ideal candidate will excel at translating complex technical concepts into clear actionable implementations and guidelines. You will develop practical code templates used by thousands of Amazon developers globally share best practices in ML development and collaborate with leading experts in GenAI Deep Learning and ML. This role demands both technical depth and breadth from fundamental ML concepts to the latest GenAI developments enabling you to guide others in implementing effective ML solutions.
Youll create technical content lead training sessions on ML best practices and actively engage with Amazons ML community. Your ability to clearly communicate complex AI concepts and emerging technologies will be crucial in helping teams across Amazon implement AI effectively. The position offers continuous opportunities to explore new AI technologies while connecting with diverse teams and enabling them to apply these advances in their work.
Key job responsibilities
- Design and maintain practical ML implementations and starter code templates that showcase best practices in Generative AI and ML serving as foundational resources for Amazon teams globally.
- Create and deliver technical training content focused on emerging AI technologies and ML best practices adapting the material for both technical and business audiences across Amazon.
- Collaborate with ML experts across Amazon to identify emerging AI/ML capabilities ensuring our solutions align with the latest industry developments and internal needs.
- Build and maintain connections with the broader AI/ML community through technical contributions documentation and knowledge sharing sessions.
- Stay at the forefront of ML and Generative AI advancements evaluating new technologies and methodologies for their practical applications within Amazon and effectively communicating these insights to various teams.
About the team
The MLU teams strength lies in its diversity of backgrounds and experiences. Our team members come from varied career paths bringing unique perspectives that enable us to tackle complex challenges in innovative ways. We actively seek builders from all backgrounds to join our team and we encourage everyone to bring their authentic selves to work. This diversity of thought and experience consistently proves invaluable in solving challenging problems that would otherwise seem insurmountable. If you have both a technical foundation in AI/ML and a drive to help others succeed join us in democratizing AI technology across Amazon!
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- 2 years teaching technical topics to both technical and non-technical audiences
- Experience building Generative AI applications
- Experience working with instructional design best practices
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 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 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.
In light of the transformative advances in Generative and Agentic AI we are seeking an Applied Scientist with expertise in these technologies and a proven track record of practical ML solutions. A key aspect of this role involves writing and maintaining reliable code that serves as the foundation for various AI projects and training programs across Amazon. You will need to stay continuously engaged with the rapidly evolving AI landscape maintain strong connections with both internal and external ML experts and effectively educate Amazons technical and non-technical communities on these advances.
The ideal candidate will excel at translating complex technical concepts into clear actionable implementations and guidelines. You will develop practical code templates used by thousands of Amazon developers globally share best practices in ML development and collaborate with leading experts in GenAI Deep Learning and ML. This role demands both technical depth and breadth from fundamental ML concepts to the latest GenAI developments enabling you to guide others in implementing effective ML solutions.
Youll create technical content lead training sessions on ML best practices and actively engage with Amazons ML community. Your ability to clearly communicate complex AI concepts and emerging technologies will be crucial in helping teams across Amazon implement AI effectively. The position offers continuous opportunities to explore new AI technologies while connecting with diverse teams and enabling them to apply these advances in their work.
Key job responsibilities
- Design and maintain practical ML implementations and starter code templates that showcase best practices in Generative AI and ML serving as foundational resources for Amazon teams globally.
- Create and deliver technical training content focused on emerging AI technologies and ML best practices adapting the material for both technical and business audiences across Amazon.
- Collaborate with ML experts across Amazon to identify emerging AI/ML capabilities ensuring our solutions align with the latest industry developments and internal needs.
- Build and maintain connections with the broader AI/ML community through technical contributions documentation and knowledge sharing sessions.
- Stay at the forefront of ML and Generative AI advancements evaluating new technologies and methodologies for their practical applications within Amazon and effectively communicating these insights to various teams.
About the team
The MLU teams strength lies in its diversity of backgrounds and experiences. Our team members come from varied career paths bringing unique perspectives that enable us to tackle complex challenges in innovative ways. We actively seek builders from all backgrounds to join our team and we encourage everyone to bring their authentic selves to work. This diversity of thought and experience consistently proves invaluable in solving challenging problems that would otherwise seem insurmountable. If you have both a technical foundation in AI/ML and a drive to help others succeed join us in democratizing AI technology across Amazon!
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- 2 years teaching technical topics to both technical and non-technical audiences
- Experience building Generative AI applications
- Experience working with instructional design best practices
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 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 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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