Senior AI/ML Core Engineer

Google; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Job summary

Google seeks a Senior Software Engineer in AI/ML Core located in Mountain View, CA. Mid-to-senior level with strong Python/C++ programming, ML design, and ML infrastructure experience. The role spans from software development to deploying scalable ML systems across Google’s AI stack.

You will work on cutting-edge AI models, contribute to large-scale systems, and collaborate across teams to push technology forward while navigating product requirements and performance constraints.

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 with 1 year in design/architecture.
• 3 years of experience with one or more ML areas (speech/audio, RL, ML infra, or related).
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers through design and code reviews to ensure best practices across technologies.
• Contribute to documentation and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/resolve impacts on hardware, network, or service quality.
• Design and implement solutions in specialized ML areas and demonstrate ML expertise.

Skills

Python

C++

Machine learning

ML infrastructure

Leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google seeks a Senior Software Engineer in AI/ML Core located in Mountain View, CA. Mid-to-senior level with strong Python/C++ programming, ML design, and ML infrastructure experience. The role spans from software development to deploying scalable ML systems across Google’s AI stack.

You will work on cutting-edge AI models, contribute to large-scale systems, and collaborate across teams to push technology forward while navigating product requirements and performance constraints.