Sr Applied Scientist Hardware Silicon and Systems Group
Sr Applied Scientist Hardware Silicon and Systems Group
Posted on :
12-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
12-04-2025
Job Description
Our team leads the development and optimization of ondevice ML models for Amazons hardware products including audio vision and multimodal AI features. We work at the critical intersection of ML innovation and silicon design ensuring AI capabilities can run efficiently on resourceconstrained devices.
Currently we enable production ML models across multiple device families including Echo Ring/Blink and other consumer devices. Our work directly impacts Amazons customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered ondevice versus requiring cloud connectivity ultimately shaping product capabilities and customer experience across Amazons hardware portfolio.
This is a unique opportunity to shape the future of AI in consumer devices at unprecedented scale. Youll be at the forefront of developing industryfirst model architectures and compression techniques that will power AI features across millions of Amazon devices worldwide. Your innovations will directly enable new AI features that enhance how customers interact with Amazon products every day. Come join our team!
Key job responsibilities
As a Sr Applied Scientist on the Edge AI ML team you will:
Design and implement novel algorithms for compressing and optimizing deep learning models for edge devices at the system level
Lead complex research projects from inception to production deployment
Define technical requirements and develop implementation plans for largescale ML systems
Drive adoption of new approaches and best practices across teams
Mentor and develop junior scientists while fostering collaboration across teams
Conduct and oversee experiments to evaluate and benchmark model performance across various hardware platforms
Partner with product teams to integrate our technology into Amazon devices and services
Advance stateoftheart efficiency in AI model deployment through novel research
Lead exploration of emerging ML architectures (e.g. transformers neural architecture search) for edge computing
Drive innovation in hardwareaware ML techniques to tailor models for specific edge devices
Author research publications and engage with the external scientific community when aligned with business goals
About the team
Our team is at the forefront of enabling AI capabilities on edge devices. We offer:
The opportunity to lead ML technologies with realworld impact
Collaboration with worldclass researchers and engineers
A culture of innovation that encourages new ideas and approaches
The scale and resources of Amazon to tackle ambitious technical challenges
Opportunities to influence product strategy and technical direction
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 leading technical projects and mentoring junior scientists
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Track record of successful production deployments
Deep expertise in model compression techniques like pruning quantization and knowledge distillation
Proven experience deploying ML models on edge devices or mobile platforms
Strong background in optimization information theory or signal processing
History of developing and implementing novel ML algorithms that advance the state of the art
Strong publication record in toptier ML conferences (e.g. NeurIPS ICML ICLR)
Experience influencing product strategy and technical roadmaps
Demonstrated ability to collaborate across teams and organizations
Experience building and leading research initiatives that deliver customer impact
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Currently we enable production ML models across multiple device families including Echo Ring/Blink and other consumer devices. Our work directly impacts Amazons customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered ondevice versus requiring cloud connectivity ultimately shaping product capabilities and customer experience across Amazons hardware portfolio.
This is a unique opportunity to shape the future of AI in consumer devices at unprecedented scale. Youll be at the forefront of developing industryfirst model architectures and compression techniques that will power AI features across millions of Amazon devices worldwide. Your innovations will directly enable new AI features that enhance how customers interact with Amazon products every day. Come join our team!
Key job responsibilities
As a Sr Applied Scientist on the Edge AI ML team you will:
Design and implement novel algorithms for compressing and optimizing deep learning models for edge devices at the system level
Lead complex research projects from inception to production deployment
Define technical requirements and develop implementation plans for largescale ML systems
Drive adoption of new approaches and best practices across teams
Mentor and develop junior scientists while fostering collaboration across teams
Conduct and oversee experiments to evaluate and benchmark model performance across various hardware platforms
Partner with product teams to integrate our technology into Amazon devices and services
Advance stateoftheart efficiency in AI model deployment through novel research
Lead exploration of emerging ML architectures (e.g. transformers neural architecture search) for edge computing
Drive innovation in hardwareaware ML techniques to tailor models for specific edge devices
Author research publications and engage with the external scientific community when aligned with business goals
About the team
Our team is at the forefront of enabling AI capabilities on edge devices. We offer:
The opportunity to lead ML technologies with realworld impact
Collaboration with worldclass researchers and engineers
A culture of innovation that encourages new ideas and approaches
The scale and resources of Amazon to tackle ambitious technical challenges
Opportunities to influence product strategy and technical direction
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 leading technical projects and mentoring junior scientists
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Track record of successful production deployments
Deep expertise in model compression techniques like pruning quantization and knowledge distillation
Proven experience deploying ML models on edge devices or mobile platforms
Strong background in optimization information theory or signal processing
History of developing and implementing novel ML algorithms that advance the state of the art
Strong publication record in toptier ML conferences (e.g. NeurIPS ICML ICLR)
Experience influencing product strategy and technical roadmaps
Demonstrated ability to collaborate across teams and organizations
Experience building and leading research initiatives that deliver customer impact
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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:
Senior IC
Employment Type
Full-Time
Key Skills
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