亚马逊Senior Applied Scientist, Generative AI Innovation Center
任职要求
基本任职资格 - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - Scientific publication track record at top-tier AI/ML/NLP conferences or journals 优先任职资格 - Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-power…
工作职责
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 model selection, training or tuning, right-sizing, distillation, and hardware optimization - Provide customer and market feedback to product and engineering teams to help define product direction
• Develop next-generation AI experiences for Microsoft Edge — leverage machine learning and generative AI to reinvent how users browse, search, and interact with the web. • Advance Edge’s contextual intelligence by building models that synthesize browsing history, page content, and user intent to deliver proactive, personalized, and trustworthy assistance. • Drive innovation in agentic systems, prototyping and productionizing conversational, reasoning, and planning models that transform Edge from a static browser into a true AI companion. • Collaborate cross-functionally with product managers, designers, and engineers to translate AI capabilities into elegant, high-utility user experiences. • Own the full AI feature development lifecycle — from data pipeline and evaluation metric design to model and prompt tuning, quality validation, and continuous improvement.
• Develop next-generation AI experiences for Microsoft Edge — leverage machine learning and generative AI to reinvent how users browse, search, and interact with the web. • Advance Edge’s contextual intelligence by building models that synthesize browsing history, page content, and user intent to deliver proactive, personalized, and trustworthy assistance. • Drive innovation in agentic systems, prototyping and productionizing conversational, reasoning, and planning models that transform Edge from a static browser into a true AI companion. • Collaborate cross-functionally with product managers, designers, and engineers to translate AI capabilities into elegant, high-utility user experiences. • Own the full AI feature development lifecycle — from data pipeline and evaluation metric design to model and prompt tuning, quality validation, and continuous improvement.
The primary responsibilities will include:• Algorithm Development and Enhancement for ranking algorithms in News & Feeds- Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.- Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques. • Innovation in the area of NLP, LLM, and recommender system. • Data Analysis and Modeling- Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems.- Build systemic solutions and models to optimize user experience.
Design, training/evaluation, development/deployment of advanced models (LLM/MLLM/SLM) for ads content creation, ads performance optimization, and automated customer support. Apply strong problem-solving and data analysis skills to identify opportunities, optimize performance, and deliver measurable business impact.Stay up to date with the latest advancements in generative AI, LLM-driven agent, online advertisement, and make integration and improvement for our systems.Develop scalable and robust algorithms and pipelines for efficient model training, data processing, online serving and measurement.Collaborate with cross-functional teams, such as product managers and Infra/UI engineers, to define strategies and deliver solutions that enhance our systems.Present problems, insights, technical solutions, and results clearly to both technical and non-technical stakeholders.