Amazon Web Services (AWS)
Machine Learning Engineer, Gen AI Innovation Center, AWS
Amazon Web Services (AWS) - Seattle, Washington, us, 98127
Work at Amazon Web Services (AWS)
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Overview
Machine Learning Engineer, Gen AI Innovation Center, AWS
Join to apply for the
Machine Learning Engineer, Gen AI Innovation Center, AWS
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Amazon Web Services (AWS) Machine Learning Engineer, Gen AI Innovation Center, AWS
1 week ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, Gen AI Innovation Center, AWS
role at
Amazon Web Services (AWS) 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 develop and deploy generative AI applications at scale. 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 develop and deploy generative AI applications at scale.
As a full-stack engineer on our team, you will be responsible for designing and implementing the front-end user experience and backend system architecture. You will drive the end-to-end development of the GenAI application for different use cases and industry applications, including chatbot/customer support, document processing, multimodal content creation, and various workflow automation solutions.
This role offers an opportunity to innovate at the forefront of AI, focusing on the solution development at massive scale and delivering next-generation AI solutions for AWS customers.
Key job responsibilities
Design, develop, deploy, and optimize generative AI solutions built on AWS services Develop responsive, intuitive user interfaces using modern front-end technologies (e.g., React, Javascripts) Customer collaboration: interact with enterprise customers to understand their business and technical challenges, co-developing tailored generative AI solutions Translate prototypes into production-ready, scalable systems
A day in the life
As You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also
Build high-impact Gen AI 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 you’re always working on the most important stuff
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
3+ years of non-internship professional software development experience Bachelor's degree or equivalent Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience with Gen AI implementation including front-end development (e.g., HTML, CSS, JavaScript, React), back-end model integration and API design.
Preferred Qualifications
3+ years of full stack development experience Bachelor's degree in computer science or equivalent Experience building complex software systems that have been successfully delivered to customers Hands-on experience with prompt engineering, vector database, retrieval augmented generation (RAG), agentic AI, guardrails, and other Gen AI toolings and patterns.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A2999127 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Information Technology, Consulting, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
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Join to apply for the
Machine Learning Engineer, Gen AI Innovation Center, AWS
role at
Amazon Web Services (AWS) Machine Learning Engineer, Gen AI Innovation Center, AWS
1 week ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer, Gen AI Innovation Center, AWS
role at
Amazon Web Services (AWS) 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 develop and deploy generative AI applications at scale. 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 develop and deploy generative AI applications at scale.
As a full-stack engineer on our team, you will be responsible for designing and implementing the front-end user experience and backend system architecture. You will drive the end-to-end development of the GenAI application for different use cases and industry applications, including chatbot/customer support, document processing, multimodal content creation, and various workflow automation solutions.
This role offers an opportunity to innovate at the forefront of AI, focusing on the solution development at massive scale and delivering next-generation AI solutions for AWS customers.
Key job responsibilities
Design, develop, deploy, and optimize generative AI solutions built on AWS services Develop responsive, intuitive user interfaces using modern front-end technologies (e.g., React, Javascripts) Customer collaboration: interact with enterprise customers to understand their business and technical challenges, co-developing tailored generative AI solutions Translate prototypes into production-ready, scalable systems
A day in the life
As You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also
Build high-impact Gen AI 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 you’re always working on the most important stuff
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
3+ years of non-internship professional software development experience Bachelor's degree or equivalent Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience with Gen AI implementation including front-end development (e.g., HTML, CSS, JavaScript, React), back-end model integration and API design.
Preferred Qualifications
3+ years of full stack development experience Bachelor's degree in computer science or equivalent Experience building complex software systems that have been successfully delivered to customers Hands-on experience with prompt engineering, vector database, retrieval augmented generation (RAG), agentic AI, guardrails, and other Gen AI toolings and patterns.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A2999127 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Information Technology, Consulting, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
Seattle, WA $99,500.00-$187,000.00 5 days ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $81,900.00-$174,600.00 1 week ago Seattle, WA $100,000.00-$220,000.00 3 months ago Seattle, WA $127,000.00-$240,000.00 2 weeks ago Seattle, WA $118,657.00-$168,150.00 1 week ago Senior ML Engineer, Applied Machine Learning
Seattle, WA $56.25-$173,000.00 2 weeks ago Machine Learning Engineer, Monetization Engineering
Machine Learning Engineer, Identity Product
Seattle, WA $212,000.00-$318,000.00 1 week ago Machine Learning Engineer, Stripe Capital
Bellevue, WA $56.25-$173,000.00 2 weeks ago Bellevue, WA $145,000.00-$204,000.00 2 weeks ago Redmond, WA $56.25-$173,000.00 2 weeks ago Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS)
Seattle, WA $118,657.00-$168,150.00 6 days ago Machine Learning Engineer, Computer Vision
Machine Learning Engineer, Core Engineering
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Kirkland, WA $141,000.00-$202,000.00 1 day ago Seattle, WA $212,000.00-$318,000.00 1 week ago Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)
Seattle, WA $118,657.00-$168,150.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr