Description

Build scalable infrastructure and software solutions for machine learning systems at massive scale.

This role is on-site.

Responsibilities

• Design, test, and deploy software solutions for distributed systems and ML infrastructure.
• Build automated infrastructure to manage ML assets from development to launch.
• Ensure full traceability and auditability of ML systems while maintaining developer velocity.
• Apply research expertise to solve complex, real-world problems on an unprecedented scale.
• Deliver enterprise-grade solutions leveraging cloud technology for sustainable developer tools.

Required Skills

• 5+ years of experience in software engineering.
• Strong background in Google Cloud Platform and distributed computing.
• Experience with Machine Learning, Artificial Intelligence, and Natural Language Processing.
• Proficiency in System Design and data storage architectures.
• PhD level expertise in software engineering or related research field.

Preferred Skills

• Experience with large-scale system design, networking, or mobile development.
• Background in information retrieval or data science.
• Experience with automated infrastructure management and ML infrastructure.

Key Skills

Education

Any Graduate