Member of Technical Staff , AGI
Amazon.com
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 Member of Technical Staff to join us to build state-of-the art agents.
AGI Autonomy is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
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
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
AGI Autonomy is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
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
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
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