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.
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, you’ll be instrumental in driving our research forward. You’ll work closely with researchers to understand their needs and improve the tools and workflows that accelerate their work. Partnering with internal product teams, you’ll 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, 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.
* 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 Company’s 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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https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
