Senior AI/ML Systems Engineer - Cloud & Infrastructure

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking software engineers to advance AI and infrastructure at scale, working on diverse areas from information retrieval to large-scale system design. The role emphasizes versatility, leadership, and cross-team collaboration across full-stack projects.

Candidates should have strong Python or C++ programming skills and relevant ML experience, with in-person interviews commonly part of the process. The compensation includes a base range in USD, a target bonus, equity, and benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or ML specialization.
• 1 year of experience with end-to-end Machine Learning (model deployment, evaluation, data processing, debugging).

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on updates.
• Triage product or system issues and debug/track/resolve by analyzing impact on hardware, network, or service operations and quality.
• Implement solutions in one or more ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python

C++

Speech/Audio

Reinforcement Learning

ML Infrastructure

ML Lifecycle

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related field

Job description

Google is seeking software engineers to advance AI and infrastructure at scale, working on diverse areas from information retrieval to large-scale system design. The role emphasizes versatility, leadership, and cross-team collaboration across full-stack projects.

Candidates should have strong Python or C++ programming skills and relevant ML experience, with in-person interviews commonly part of the process. The compensation includes a base range in USD, a target bonus, equity, and benefits.