Amazon Web Services, Inc.
Machine Learning Science, Applied Science, Cloud Computing
AppliedScientist,ModelCustomization
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Machine Learning. Collaborate with AI/ML scientists and architects. Research generative AI solutions”
What You'll Achieve.
Realize transformational business opportunities; Create greatest value for businesses; Launch solutions at scale
Industry & Context.
Solve real world problems; Optimize risk; Optimize profitability; Optimize customer experience
What They're Looking For.
Must Have
3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
Experience using Unix/Linux, Experience in professional software development, Experience with Machine Learning and Large Language Model fundamentals, Experience in architecture, training/inference lifecycles, Experience in optimization of model execution, Experience in development in the last 3 years
What You'll Do.
Collaborate with AI/ML scientists and architects
Research generative AI solutions
Design generative AI solutions
Develop generative AI solutions
Evaluate generative AI solutions
Interact with customers directly
Understand customer business problems
Aid customers in implementation of generative AI solutions
Brief customers on adoption patterns
Guide customers on paths to production
Help customers optimize their solutions
Provide customer and market feedback
How You'll Work.
Team & Collaboration
AI/ML scientists; Architects; Customers; Product teams; Engineering teams
Communication Scope
Customer presentations
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. Key job responsibilities • 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 model selecti
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