Amazon
Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team
Amazon, Arlington, Virginia, United States, 22201
Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team
Overview
Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the Generative AI Innovation and Delivery Team (GenAIID) Startup Organization! The mission is to drive startup innovation by making AWS the preferred GenAI platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with world's leading startups across GenAI model providers, GenAI tooling and applications. We partner with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. We provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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. Were looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Responsibilities Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities 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 selection, training or tuning, right-sizing, distillation, and hardware optimization Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience Provide customer and market feedback to product and engineering teams to help define product direction Identify reusable assets and patterns to scale engagements and accelerate future customer impact
About The Team
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Our teams include AWS Professional Services, AWS Training and Certification, AWS Support and Managed Services, and AWS Security Assurance Services. The Generative AI Innovation Center collaborates with partners and startups; youll join a diverse team of technical experts in many countries helping customers achieve more with the AWS cloud. About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate trusted by startups and Global 500 companies to power their businesses. Benefits and Culture
AWS values diverse experiences and fosters an inclusive culture. We offer flexible work arrangements, mentorship, and opportunities for career growth. We strive to be Earths Best Employer and support employee development. Basic Qualifications
PhD, or Master's degree and 6+ years of applied research experience 5+ years of hands-on experience with Python to build, train, and evaluate models 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Experience in patents or publications at peer-reviewed conferences or journals
Preferred Qualifications
Experience working in a startup or with startup customers 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, or similar tools Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to detail and ability to convey rigorous technical concepts to non-experts
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr
Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the Generative AI Innovation and Delivery Team (GenAIID) Startup Organization! The mission is to drive startup innovation by making AWS the preferred GenAI platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with world's leading startups across GenAI model providers, GenAI tooling and applications. We partner with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. We provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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. Were looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Responsibilities Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities 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 selection, training or tuning, right-sizing, distillation, and hardware optimization Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience Provide customer and market feedback to product and engineering teams to help define product direction Identify reusable assets and patterns to scale engagements and accelerate future customer impact
About The Team
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Our teams include AWS Professional Services, AWS Training and Certification, AWS Support and Managed Services, and AWS Security Assurance Services. The Generative AI Innovation Center collaborates with partners and startups; youll join a diverse team of technical experts in many countries helping customers achieve more with the AWS cloud. About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate trusted by startups and Global 500 companies to power their businesses. Benefits and Culture
AWS values diverse experiences and fosters an inclusive culture. We offer flexible work arrangements, mentorship, and opportunities for career growth. We strive to be Earths Best Employer and support employee development. Basic Qualifications
PhD, or Master's degree and 6+ years of applied research experience 5+ years of hands-on experience with Python to build, train, and evaluate models 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Experience in patents or publications at peer-reviewed conferences or journals
Preferred Qualifications
Experience working in a startup or with startup customers 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, or similar tools Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to detail and ability to convey rigorous technical concepts to non-experts
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr