Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Autonomy organization, and we are looking for a driven and talented SDE to join us to build state of the art agents.
As an SDE on our team, you will design, build, and maintain systems for training and evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to build systems to enable our organization to efficiently train large multimodal models.
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you.
Key job responsibilities
Key job responsibilities
* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.
About the team
Our team is driven by a passion for pushing the boundaries of what AI can achieve. We are a diverse group of engineers, researchers, and innovators, committed to building AI systems that are capable of assisting and augmenting human intelligence in meaningful ways. Our work spans cutting-edge advancements in reinforcement learning, natural language processing, and multimodal systems, with a focus on creating agents that empower users to accomplish complex tasks efficiently and intuitively.
As an SDE on our team, you will design, build, and maintain systems for training and evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to build systems to enable our organization to efficiently train large multimodal models.
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you.
Key job responsibilities
Key job responsibilities
* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.
About the team
Our team is driven by a passion for pushing the boundaries of what AI can achieve. We are a diverse group of engineers, researchers, and innovators, committed to building AI systems that are capable of assisting and augmenting human intelligence in meaningful ways. Our work spans cutting-edge advancements in reinforcement learning, natural language processing, and multimodal systems, with a focus on creating agents that empower users to accomplish complex tasks efficiently and intuitively.