Member of Technical Staff, Multimodal Agents, AGI Autonomy
Amazon
San Francisco, California
Posted yesterday
Responsibilities
Primary Duties
- Set the technical direction for the team
- Partner closely with researchers to take emerging VLM and agent ideas from prototype to robust, instrumented systems that can be evaluated, improved, and scaled
- Create tooling that accelerates research and engineering velocity
- Raise the engineering bar for the team through technical design reviews, mentoring, principled architecture, high-quality code, observability, and operational excellence
- Influence the broader AGI organization by identifying reusable primitives, writing clear technical strategy, and creating systems that other teams can build on
- Be a thought leader & represent the lab externally by sharing ideas through thoughtful writing, conference talks, research publications, and open-source contributions, helping advance the field while raising the visibility and impact of the team's work
Full Job Description
Principal Engineer
Amazon AGI Lab is a frontier research and product team combining the speed of a startup with Amazon's scale and resources. We build agents that can perceive, reason, and take action to complete real-world tasks. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
We're hiring a principal engineer who can take models from prototype to production and build the systems that make them run reliably at scale. The bar is end-to-end ownership: your work can range from working alongside researchers to build novel architectures, to being the person who decides what the agent runtime looks like, where the data lives, and how we know it's delivering value.
Key job responsibilities:
Amazon AGI Lab is a frontier research and product team combining the speed of a startup with Amazon's scale and resources. We build agents that can perceive, reason, and take action to complete real-world tasks. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
We're hiring a principal engineer who can take models from prototype to production and build the systems that make them run reliably at scale. The bar is end-to-end ownership: your work can range from working alongside researchers to build novel architectures, to being the person who decides what the agent runtime looks like, where the data lives, and how we know it's delivering value.
Key job responsibilities:
- Set the technical direction for the team
- Partner closely with researchers to take emerging VLM and agent ideas from prototype to robust, instrumented systems that can be evaluated, improved, and scaled
- Create tooling that accelerates research and engineering velocity
- Raise the engineering bar for the team through technical design reviews, mentoring, principled architecture, high-quality code, observability, and operational excellence
- Influence the broader AGI organization by identifying reusable primitives, writing clear technical strategy, and creating systems that other teams can build on
- Be a thought leader & represent the lab externally by sharing ideas through thoughtful writing, conference talks, research publications, and open-source contributions, helping advance the field while raising the visibility and impact of the team's work
How to Apply
Amazon
About
Founded by Jeff Bezos in 1994, Amazon started as an online bookstore and has grown into a global e-commerce and tech powerhouse. Known for its Prime services, Alexa devices, and AWS cloud computing, A...
$93
/ hour
Amazon pays $93 for Software Engineer in San Francisco, California, with most salaries ranging from $72 to $125. Pay can vary based on role, experience, and local cost of living.
Median
$93
Low
$72
High
$125
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