Amazon Web Services, Inc.
Technology
AppliedScientist,ModelCustomization
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Model Customization, LLM. Research generative AI solutions. Design generative AI solutions”
Industry & Context.
Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience; Solve never-before-solved problems
What They're Looking For.
Must Have
Master’s degree plus 5 years of relevant work experience, 5+ years of hands on experience with Python, 2+ years of experience in algorithms and data structures, 2+ years of experience in parsing, 2+ years of experience in numerical optimization, 2+ years of experience in data mining, 2+ years of experience in parallel and distributed computing, 2+ years of experience in high-performance computing, Experience with design, development, and optimization of generative AI solutions, Experience with generative AI algorithms, Experience with generative AI technologies, Scientific publication track record
Nice to Have
PhD degree in computer science, PhD degree in engineering, PhD degree in mathematics, PhD degree in operations research, PhD degree in a highly quantitative field, 2+ years LLM post-training experience, 2+ years LLM continual pre-training experience, 2+ years LLM fine-tuning experience, 2+ years LLM reinforcement learning experience, 2+ years Foundational Model post-training experience, 2+ years Foundational Model continual pre-training experience, 2+ years Foundational Model fine-tuning experience, 2+ years Foundational Model reinforcement learning experience, Experience building LLM-powered agentic workflow, Experience building LLM-powered orchestration, Experience building LLM agent customization, Track record of building ML models at scale, Track record of deploying ML models at scale, Experience with quantization, Experience with distillation, Experience with compression, Experience with inference optimization, Experience with trl, Experience with verl, Experience with LangChain, Experience with LlamaIndex, Hands-on experience building generative AI applications on AWS, Hands-on experience using Amazon Bedrock, Hands-on experience using Amazon SageMaker
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
Guide customers on adoption patterns
Guide customers on paths to production
Optimize customer solutions
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
Design state-of-the-art solutions
Evangelize state-of-the-art solutions
Implement state-of-the-art solutions
How You'll Work.
Team & Collaboration
AI/ML scientists; Architects; Customers
Full Job Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to 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 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 appr
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