Sr. Applied Science Manager, AWS Specialist Prototyping Team

Core to Amazon’s DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. AWS Specialist Prototyping team provides hands-on support to qualified customers & partners to discover the art of the possible with AWS and accelerate their path to production.

If you are a highly creative problem solver who works to inspire, motivate, and define innovative solutions; are passionate about technology, understand cloud architectures & platforms, and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches, and validate the technical feasibility of solutions - this could be the role for you!

Key job responsibilities

A Sr. Applied Science Manager in the AWS Specialist Prototyping team sets the science direction for the team on emerging tech that represents the most innovative and challenging use cases for our customers. They ensure the success of this unique customer facing applied science execution team by serving as the engagement manager responsible for sourcing, qualifying, scoping, executing, delivering and transitioning Prototyping engagements. They drive science prototypes that have a high degree of ambiguity, scale and complexity. They provide technical and science leadership related to large language models, generative multi-modal models and computer vision. They recruit high performing Applied Scientists to the team and provide mentorship. They establish team mechanisms, including team building, planning, and document reviews.

About the team

The Worldwide Specialist Organization (WWSO) is part of AWS and 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. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Within WWSO, the AWS Specialist Prototyping team's mission is to accelerate customer innovation by transforming complex business challenges into novel AWS solutions through rapid prototyping and experimentation.

Get a sample of the work we have done with customers here: https://www.youtube.com/watch?v=OqIGzNtM670&list=PL9NTgqXfVhb79tN35dpbKSO-q4OdfBu_d

Large language models we have created are here: https://huggingface.co/aws-prototyping/

Diverse Experiences

AWS 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.

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) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.

Basic qualifications

- Experience in science or engineering team management

- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

- Experience in practical work applying ML to solve complex problems for large scale applications

- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)

Preferred qualifications

- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)

- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

- Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes

- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies

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 (https://www.amazon.jobs/en/privacy_page) 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 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.