Senior AI/ML Software Engineer for Mobile Platforms

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a software engineer in Mountain View to work on next-generation ML and AI systems. You will develop, test, and deploy software across large-scale infrastructure, collaborating with teams to push the boundaries of information retrieval, distributed computing, and AI capabilities.

The role emphasizes design, code quality, and integration with ML pipelines, with opportunities to influence product strategy and cross-functional projects.

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: Speech/audio, reinforcement learning, ML infrastructure, or another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, 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 sources of issues and impact on hardware, network, or service operations.
• Design and implement solutions in one or more ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

Software testing

Software architecture

ML field specialization

ML infrastructure

Education

Bachelor's degree or equivalent practical experience

Tools

ML infrastructure

Job description

Google is seeking a software engineer in Mountain View to work on next-generation ML and AI systems. You will develop, test, and deploy software across large-scale infrastructure, collaborating with teams to push the boundaries of information retrieval, distributed computing, and AI capabilities.

The role emphasizes design, code quality, and integration with ML pipelines, with opportunities to influence product strategy and cross-functional projects.