MTS-ML Infra, AGI

Amazon.com, Inc.•San Francisco, CA

59d

About The Position

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. As an MTS on our team, you will design, build, and maintain a Spark-based infrastructure to process and manage large datasets critical for machine learning research. You'll work closely with our researchers to develop data workflows and tools that streamline the preparation and analysis of massive multimodal datasets, ensuring efficiency and scalability. We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you. 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.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience, or Bachelor's degree in computer science or equivalent
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Nice To Haves

Experience as a mentor, tech lead or leading an engineering team
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Responsibilities

Develop and maintain reliable infrastructure to enable large-scale data extraction and transformation.
Work closely with researchers to create tooling for emerging data-related 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.

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