Machine Learning Engineer, Gen AI Innovation Center, AWS

Amazon Web Services (AWS); Seattle (WA); On-site; USD 129,000 - 224,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Machine Learning Engineer to join their Gen AI Innovation Center. This role involves designing and implementing AI solutions, collaborating with customers, and working in an innovative environment. Candidates should have a strong background in software development, particularly in generative AI and full-stack technologies. The position offers flexible work-life harmony and an inclusive culture promoting professional growth.

Benefits

Flexible working culture

Mentorship and career growth opportunities

Inclusive team culture

Qualifications

• 3+ years of software development experience required.
• Experience with front-end technologies (HTML, CSS, JavaScript, React).
• Experience designing and architecting new and existing systems.

Responsibilities

• Design, develop, deploy, and optimize generative AI solutions.
• Develop responsive, intuitive user interfaces using modern technologies.
• Interact with customers to develop tailored generative AI solutions.

Skills

Front-end development

Backend integration

Generative AI implementation

Collaborative problem solving

Education

Bachelor's degree or equivalent

Job description

Machine Learning Engineer, Gen AI Innovation Center, AWS

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Machine Learning Engineer, Gen AI Innovation Center, AWS

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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

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