Senior Applied Scientist AGI Customization Services
Senior Applied Scientist AGI Customization Services
Posted on :
27-04-2025
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1 Vacancy
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Job Description
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Senior Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing stateoftheart services and tools for model customization including supervised finetuning reinforcement learning and knowledge distillation across large language models.
As a Senior Applied Scientist you will play a critical role in developing advanced customization capabilities that enable enterprises to build highly performant applicationspecific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.
Key job responsibilities
Lead the development of novel customization techniques including extended posttraining continued pretraining and advanced knowledge distillation
Collaborate with crossfunctional teams to design and implement enterpriseready tooling for various training techniques on Amazon SageMaker
Design and execute experiments to optimize model accuracy latency and cost across different customization approaches (SFT DPO PPO)
Develop and enhance preference learning algorithms and training curricula for customerspecific applications
Create robust evaluation frameworks for assessing model performance across different domains and use cases
Contribute to the development of the Responsible AI toolkit including creating training and evaluation datasets for model alignment
Design and implement secure access mechanisms for early model checkpoints and weights
Think big about the evolution of model customization technologies over a multiyear horizon identifying new opportunities to enhance enterprise AI capabilities
Communicate technical insights and results to both technical and nontechnical stakeholders through presentations and documentation
Monitor and analyze trends in AI to continuously refine the customization strategy ensuring alignment with industry best practices and emerging standards
3 years of building machine learning models for business application experience
PhD or Masters degree and 5 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
PhD in Computer Science Machine Learning or a related field with a focus on Gen AI and reinforcement learning
Experience in developing and implementing algorithms and models for supervised finetuning and reinforcement learning
Programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
Excellent problemsolving skills with the ability to think creatively and critically about complex problems
Strong communication and collaboration skills with the ability to work effectively with crossfunctional teams
Experience with patents or publications at toptier peerreviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
As a Senior Applied Scientist you will play a critical role in developing advanced customization capabilities that enable enterprises to build highly performant applicationspecific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.
Key job responsibilities
Lead the development of novel customization techniques including extended posttraining continued pretraining and advanced knowledge distillation
Collaborate with crossfunctional teams to design and implement enterpriseready tooling for various training techniques on Amazon SageMaker
Design and execute experiments to optimize model accuracy latency and cost across different customization approaches (SFT DPO PPO)
Develop and enhance preference learning algorithms and training curricula for customerspecific applications
Create robust evaluation frameworks for assessing model performance across different domains and use cases
Contribute to the development of the Responsible AI toolkit including creating training and evaluation datasets for model alignment
Design and implement secure access mechanisms for early model checkpoints and weights
Think big about the evolution of model customization technologies over a multiyear horizon identifying new opportunities to enhance enterprise AI capabilities
Communicate technical insights and results to both technical and nontechnical stakeholders through presentations and documentation
Monitor and analyze trends in AI to continuously refine the customization strategy ensuring alignment with industry best practices and emerging standards
3 years of building machine learning models for business application experience
PhD or Masters degree and 5 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
PhD in Computer Science Machine Learning or a related field with a focus on Gen AI and reinforcement learning
Experience in developing and implementing algorithms and models for supervised finetuning and reinforcement learning
Programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
Excellent problemsolving skills with the ability to think creatively and critically about complex problems
Strong communication and collaboration skills with the ability to work effectively with crossfunctional teams
Experience with patents or publications at toptier peerreviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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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