Generative AI Data Scientist

Job Description

Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.

At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.

Requirements

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 5+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• 5+ years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models
• Deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, pre-training and fine-tuning techniques
• Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches
• Experience with embedding model fine tuning and retrieval method evaluation approaches
• Great communication skills and ability to impress Amazon Web Services customers at any level, from executive to developer

Nice to Have

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• Experience with open source frameworks for building applications powered by language models like LangChain, LlamaIndex
• Design, develop, and optimize high-quality prompts and templates that guide the behavior and responses of LLM
• Customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, and risk mitigation
• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
• Track record of thought leadership and innovation around Machine Learning
• Led a cloud initiative as an AWS customer or consulting with a customer in their own IT transformation

Key Job Responsibilities

• Customer Advisor: Implement, and deploy state of the art machine learning algorithms under Gen AI
• Thought Leadership: Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements
• Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback
• Develop and support an AWS internal community of ML related subject matter experts worldwide
• Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures

Locations

• Seattle, WA, USA

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.