Amazon
Software Development Engineer, Conversational AI Modeling and Learning
US, WA, Bellevue•
34 days ago
The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDE/MLE to play pivotal role in the development of industry-leading, Generative AI (GenAI) powered conversational assistant capabilities using latest techniques like fine tuning, ICL (In Context Learning) and various prompt optimization techniques.
Key job responsibilities
* Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best conversational agent.
* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents.
* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
* Work closely with Applied scientists to process massive data, scale machine learning models along with optimizing latency, cost and capacity.
* Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
A day in the life
As a SDE with the CAMEL team, you will be responsible for leading the development of high performance, low latency, cutting edge modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
About the team
Join our CAMEL team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
Key job responsibilities
* Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best conversational agent.
* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents.
* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
* Work closely with Applied scientists to process massive data, scale machine learning models along with optimizing latency, cost and capacity.
* Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
A day in the life
As a SDE with the CAMEL team, you will be responsible for leading the development of high performance, low latency, cutting edge modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
About the team
Join our CAMEL team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.