The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive SDEII with a strong machine learning background, to lead the development of industry-leading technology with multimodal systems.
As a SDE with the AGI team, you will be a key contributor to the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. 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) in Computer Vision. 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.
Key job responsibilities
- Responsible for the development and maintenance of key platforms needed for developing multimodal models
- Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
About the team
We're a group of passionate engineers and scientists dedicated to pushing the boundaries of innovation in data enrichment, training, and evaluation serving Multimodal LLM foundation models.
As a SDE with the AGI team, you will be a key contributor to the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. 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) in Computer Vision. 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.
Key job responsibilities
- Responsible for the development and maintenance of key platforms needed for developing multimodal models
- Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
About the team
We're a group of passionate engineers and scientists dedicated to pushing the boundaries of innovation in data enrichment, training, and evaluation serving Multimodal LLM foundation models.