Sales, Marketing and Global Services (SMGS)
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate and talented scientists and engineers on the next generation of intelligent customer experiences leveraging state-of-the-art deep learning and generative models? AWS Field Experiences (AFX) Generative AI team is looking for a Machine Learning Engineer with experience in the design and development of scalable AI/ML, deep learning, and generative AI models, deep passion for building end-to-end products, strong ability to communicate scientific ideas and results, and a proven track record of executing complex projects while delivering high business impact.
The mission of the AFX Generative AI team is to build software tools that make our field teams much more effective in winning opportunities and generating revenue for AWS. Our field teams are knowledge workers who operate on complex data such as catalogs and documentation about AWS products and services. The tools and experiences we provide for the field teams surface the right information to drive decision making and engagement with each customer. Our tools deliver this targeted intelligence through conversational interactions, suggestions, personalized recommendations, and high quality shareable generated content.
As a Machine Learning Engineer (SDE) you will work on the design, development and improvement of AI/ML models and systems for various software products. In this role, you will be expected to:
- Build novel system architectures that leverage Large Language Models (LLMs) and other forms of generative AI.
- Design and build workflows and end-to-end pipelines for data preparation, model training, deployment, monitoring, etc., and ensure the quality of architecture to deliver the Generative AI solutions as scalable and performant fully featured products.
- Work with product partners to design production at scale.
- Deliver customer facing and/or underlying AI/ML solutions that empower AWS sellers to win in the marketplace of cloud software, services and solutions.
The position is located in Boston, MA.
A day in the life
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.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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