Member of Technical Staff , 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 worlds. In other words were enabling practical AI that can actually do things for us and make our customers more productive empowered and fulfilled.



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

Key responsibilities

* Design maintain and enhance tools and workflows that support cutting-edge research
* Adapt quickly to evolving research priorities and team needs
* Stay informed on the latest advancements in large language models and related research
* Collaborate closely with researchers to develop new techniques and tools around emerging agent capabilities
* Drive project execution including scoping prioritization timeline management and stakeholder communication
* Thrive in a fast-paced iterative environment delivering high-quality software on tight schedules
* Apply strong software engineering fundamentals to produce clean reliable and maintainable code



A day in the life


As a fullstack engineer embedded in a research pod youll be instrumental in driving our research forward. Youll work closely with researchers to understand their needs and improve the tools and workflows that accelerate their work. Partnering with internal product teams youll help evolve our research platform and serve as a dedicated advocate for the research community.

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 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.


* 1 YOE working as a software engineer (internships are great)
* Some background in machine learning (academic is great)
* Familiarity with software engineering practices



* Comfortable with Python Typescript and SQL
* Experience developing software applications
* Experience with foundation LLM models

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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