Machine Learning Engineer Generative AI Innovation Center - Model Customization
Machine Learning Engineer Generative AI Innovation Center - Model Customization
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
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
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Handson experience with deep learning and/or machine learning methods (e.g. for training fine tuning and inference)
Handson experience with generative AI technology
2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
1 years of experience handson experience with developing deploying or optimizing machine learning models using a recognized ML library or framework.
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 $129300/year in our lowest geographic market up to $223600/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
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Handson experience with deep learning and/or machine learning methods (e.g. for training fine tuning and inference)
Handson experience with generative AI technology
2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
1 years of experience handson experience with developing deploying or optimizing machine learning models using a recognized ML library or framework.
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 $129300/year in our lowest geographic market up to $223600/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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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