MTS, Data Infra , AGI
Amazon · San Francisco, CA · Software Development
About this role
Amazon is hiring a staff-level Machine Learning Engineer based in San Francisco, CA. The posting calls out experience with Spark, Machine Learning, Performance Optimization, AI Agents and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- staff
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Experience
- 5+ years
- Education
- Bachelor's degree
- Department
- Software Development
- Posted
- Nov 24, 2025
More roles at Amazon
Job description
from Amazon careersAre 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. Key job 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. *…