Science Manager, Model Customization, Generative AI Innovation Center

Amazon launched the Generative AI Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization ( Starting in 2024 the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses define paths to navigate technical or business challenges develop and optimize models to power their solutions and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

The GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC youll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists deep learning architects and ML engineers to build generative AI models and pipelines and deliver state-of-the-art solutions to customers business and mission problems. Your team will be working with terabytes of text images and other types of data to address real-world problems.


Key job responsibilities
The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical face of AWS within our solution providers ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.
The ideal candidate will also have a demonstrated ability to think strategically about business product and technical issues. Finally and of critical importance the candidate will be an excellent technical team manager someone who knows how to hire develop and retain high quality technical talent.
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.


About the team
Diverse Experiences
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Work/Life Balance
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- PhD in computer science mathematics statistics machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience in building quantitative solutions as a scientist or science manager
- Experience directly managing scientists or machine learning engineers
- Experience in applying statistical models for large-scale application and building automated analytical systems

- Experience in a least one area of Machine Learning (NLP Regression Classification Clustering or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- Bachelors degree in Computer Science or equivalent

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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