Senior AI/ML Engineer, Cloud Platforms

Google; United States; On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Senior Software Engineer, AI/ML for Google Cloud Platforms in New York, NY and Sunnyvale, CA. The role requires hands-on coding in Python or C++, ML infrastructure expertise, and potential leadership responsibilities. In-person interviews are typical and candidates may select a preferred location.

Responsibilities include developing, testing, and reviewing code, contributing to documentation, debugging complex issues, and delivering ML-driven solutions across cloud platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years testing, maintaining, or launching software; 1 year in design/architecture.
• 3 years in ML areas: speech, reinforcement learning, ML infra, or related field.
• 3 years in ML infrastructure: deployment, evaluation, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content with product updates.
• Triage issues and debug/resolve affecting hardware, network, or service quality.
• Design and implement ML solutions; leverage ML infrastructure; show expertise in a field.

Skills

Python

C++

ML infrastructure

Reinforcement learning

Speech processing

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

Google is seeking a Senior Software Engineer, AI/ML for Google Cloud Platforms in New York, NY and Sunnyvale, CA. The role requires hands-on coding in Python or C++, ML infrastructure expertise, and potential leadership responsibilities. In-person interviews are typical and candidates may select a preferred location.

Responsibilities include developing, testing, and reviewing code, contributing to documentation, debugging complex issues, and delivering ML-driven solutions across cloud platforms.