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Machine Learning Engineer, AWS Field Experiences

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Machine Learning
Mid-Level Software Engineer
3+ years of experience
AI · Enterprise SaaS
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Description For Machine Learning Engineer, AWS Field Experiences

Are you passionate about inventing next-generation software powered by generative AI? Do you want to expand your expertise in ML and deep learning while working with cutting-edge concepts and tools? Do you have a passion for building end-to-end smart software products that can deliver high business impact? AWS Field Experiences (AFX) team is looking for you!

As a Machine Learning Engineer at AFX, you'll be at the forefront of building AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. You will work with a team of passionate scientists and engineers to design, develop, and improve generative AI and traditional ML models that drive multiple software products.

Key job responsibilities:

  • Innovate system architectures using Large Language Models (LLMs) and other forms of generative AI
  • Leverage diverse data sources to maximize business impact through ML and AI methods
  • Design and develop end-to-end, robust, and scalable pipelines for data preparation, model training, deployment, and monitoring
  • Collaborate with scientists, engineers, and product partners to deliver intelligent, feature-rich software
  • Mentor and educate our colleagues and customers about how AI technology works, and the ways it may change how knowledge work is done.

About 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.

Last updated 9 months ago

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