Amazon Web Services, Inc.

Machine Learning Science, Applied Science, Cloud Computing

AppliedScientist,ModelCustomization

$136–223k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Machine Learning Science, Applied Science, Cloud Computing
Problems you'll solve

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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