Sr Machine Learning Engineer Generative AI Innovation Center
Sr Machine Learning Engineer Generative AI Innovation Center
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 151300 - 261500
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists scientists engineers and architects collaborates with customers across industries to finetune and deploy customized generative AI applications at scale. Additionally we work closely with foundational model providers to optimize AI models for Amazon Silicon enhancing performance and efficiency.
As an SDE on our team you will drive the development of custom Large Language Models (LLMs) across languages domains and modalities. You will be responsible for finetuning stateoftheart LLMs for diverse use cases while optimizing models for highperformance deployment on AWSs custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI tackling endtoend LLM training pipelines at massive scale and delivering nextgeneration AI solutions for top AWS clients.
Key job responsibilities
LargeScale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed ensuring scalability and efficiency
LLM Customization & FineTuning: Adapt LLMs for new languages domains and vision applications through continued pretraining finetuning and Reinforcement Learning with Human Feedback (RLHF)
Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges codeveloping tailored generative AI solutions
5 years of noninternship professional software development experience
5 years of programming with at least one software programming language experience
Experience as a mentor tech lead or leading an engineering team
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
Handson experience with deep learning and machine learning methods (e.g. for training fine tuning and inference)
Experience with design development and optimization of generative AI solutions algorithms or technologies
Bachelors degree in Computer Science or equivalent
Handson experience with at least one ML library or framework
2 years of experience in developing deploying or optimizing ML models
5 years of experience in the full software development life cycle including coding standards code reviews source control management build processes testing and operations
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 $151300/year in our lowest geographic market up to $261500/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 an SDE on our team you will drive the development of custom Large Language Models (LLMs) across languages domains and modalities. You will be responsible for finetuning stateoftheart LLMs for diverse use cases while optimizing models for highperformance deployment on AWSs custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI tackling endtoend LLM training pipelines at massive scale and delivering nextgeneration AI solutions for top AWS clients.
Key job responsibilities
LargeScale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed ensuring scalability and efficiency
LLM Customization & FineTuning: Adapt LLMs for new languages domains and vision applications through continued pretraining finetuning and Reinforcement Learning with Human Feedback (RLHF)
Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges codeveloping tailored generative AI solutions
5 years of noninternship professional software development experience
5 years of programming with at least one software programming language experience
Experience as a mentor tech lead or leading an engineering team
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
Handson experience with deep learning and machine learning methods (e.g. for training fine tuning and inference)
Experience with design development and optimization of generative AI solutions algorithms or technologies
Bachelors degree in Computer Science or equivalent
Handson experience with at least one ML library or framework
2 years of experience in developing deploying or optimizing ML models
5 years of experience in the full software development life cycle including coding standards code reviews source control management build processes testing and operations
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 $151300/year in our lowest geographic market up to $261500/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
Department / Functional Area
Key Skills
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