Senior AI/ML Software Engineer, Cloud Platform

Google; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Senior Software Engineer for AI/ML on Google Cloud Platform in the United States. The role focuses on building and scaling AI/ML systems, leveraging extensive ML infrastructure, and mentoring teammates.

Responsibilities include delivering production-ready code, participating in design reviews, and shaping ML solutions across distributed systems. This position involves in-person interviews and multi-location options in New York, NY and Sunnyvale, CA.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

Software testing

Software architecture

ML infrastructure

Education

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Tools

GCP

Job description

Google is seeking a Senior Software Engineer for AI/ML on Google Cloud Platform in the United States. The role focuses on building and scaling AI/ML systems, leveraging extensive ML infrastructure, and mentoring teammates.

Responsibilities include delivering production-ready code, participating in design reviews, and shaping ML solutions across distributed systems. This position involves in-person interviews and multi-location options in New York, NY and Sunnyvale, CA.