Amazon Web Services
Technology
AppliedScientist,GenerativeAIInnovationCenter
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Generative AI Innovation Center at Amazon Web Services. Skills: Generative AI, Machine Learning, Applied Science. Research generative AI solutions. Design generative AI solutions”
Industry & Context.
Solve real world problems; Address real-world challenges; Navigate technical challenges; Navigate business challenges
What They're Looking For.
Must Have
PhD degree or Master's degree plus 5 years experience, 5+ years Python experience, 2+ years algorithms and data structures, 2+ years parsing, 2+ years numerical optimization, 2+ years data mining, 2+ years parallel and distributed computing, 2+ years high-performance computing, Experience with generative AI solutions, Scientific publication track record
Nice to Have
2+ years LLM experience, 2+ years Foundational Model experience, Demonstrated experience with LLM-powered agentic workflow, Demonstrated experience with agent customization, Track record of building and deploying ML models at scale, Experience with model optimization techniques, Experience with open-source frameworks for model customization, Experience building LLM-powered applications, Hands-on experience building generative AI applications on AWS, AWS communication skills
What You'll Do.
Research generative AI solutions
Design generative AI solutions
Develop generative AI solutions
Evaluate generative AI solutions
Interact with customers
Understand business problems
Aid customers in implementation
Brief customers on adoption
Guide customers on adoption paths
Provide customer feedback
Provide market feedback
Research new algorithms
Find new ways of optimizing risk
Find new ways of optimizing profitability
Find new ways of optimizing customer experience
Evangelize state-of-the-art solutions
Implement state-of-the-art solutions
How You'll Work.
Team & Collaboration
AI/ML scientists; Architects; Customers; Product teams; Engineering teams
Communication Scope
Convey technical concepts
Full Job Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. 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. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Help customers optimize their solutions through approaches such as mode
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