MTS-ML Infra, AGI

Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems If so youre 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 other words were 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 other words were 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 were 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.

5 years of non-internship professional software development experience
5 years of programming with at least one software programming language experience
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience as a mentor tech lead or leading an engineering team

5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Excellent knowledge of theory and practice of ML

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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