Machine Learning Engineer, Generative AI Innovation Center
Machine Learning Engineer, Generative AI Innovation Center
Posted on :
15-09-2025
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1 Vacancy
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Job Description
Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI ( Customers such as Highspot Lonely Planet Ryanair and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.
As a Machine Learning Engineer in GenAIIC you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text images and other types of data and develop Gen AI based solutions to solve real-world problems. Youll design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
Key job responsibilities
Our ML Engineers collaborate across diverse teams projects and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software development with generative AI and machine learning. Youll also:
- Solve complex technical problems often ones not solved before at every layer of the stack.
- Design implement test deploy and maintain innovative ML solutions to transform service performance durability cost and security.
- Build high-quality highly available always-on products.
- Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in ML architecture youll create metrics implement automation and other improvements and resolve the root cause of software defects. Youll also:
- Build high-impact ML solutions to deliver to our large customer base.
- Participate in design discussions code review and communicate with internal and external stakeholders.
- Work cross-functionally to help drive business solutions with your technical input.
- Work in a startup-like development environment where youre always working on the most important stuff.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led 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 (diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
- 8 years of non-internship professional software development experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience as a mentor tech lead or leading an engineering team
- 5 years experience in data querying languages (e.g. SQL) scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 5 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.
As a Machine Learning Engineer in GenAIIC you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text images and other types of data and develop Gen AI based solutions to solve real-world problems. Youll design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
Key job responsibilities
Our ML Engineers collaborate across diverse teams projects and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software development with generative AI and machine learning. Youll also:
- Solve complex technical problems often ones not solved before at every layer of the stack.
- Design implement test deploy and maintain innovative ML solutions to transform service performance durability cost and security.
- Build high-quality highly available always-on products.
- Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in ML architecture youll create metrics implement automation and other improvements and resolve the root cause of software defects. Youll also:
- Build high-impact ML solutions to deliver to our large customer base.
- Participate in design discussions code review and communicate with internal and external stakeholders.
- Work cross-functionally to help drive business solutions with your technical input.
- Work in a startup-like development environment where youre always working on the most important stuff.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led 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 (diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
- 8 years of non-internship professional software development experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience as a mentor tech lead or leading an engineering team
- 5 years experience in data querying languages (e.g. SQL) scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 5 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
Employment Type
Full-Time
Department / Functional Area
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