Senior AI/ML Software Engineer - Equity & Impact

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

Job summary

Google is seeking software engineers to advance next-generation technologies across large-scale systems and AI-enabled products. You will work on critical projects, collaborate across teams, and contribute to Google Ads and AI initiatives with a focus on reliability, scalability, and software quality.

The role emphasizes versatility, leadership, and the ability to handle diverse challenges from full-stack to ML infrastructure, within a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year in design/architecture.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, 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 (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program 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 and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

End-to-end ML

Data processing

Debugging

Collaboration

Education

Bachelor’s degree or equivalent practical experience

Master's or PhD in CS or related field

Tools

SQL

Python data analysis

Job description

Google is seeking software engineers to advance next-generation technologies across large-scale systems and AI-enabled products. You will work on critical projects, collaborate across teams, and contribute to Google Ads and AI initiatives with a focus on reliability, scalability, and software quality.

The role emphasizes versatility, leadership, and the ability to handle diverse challenges from full-stack to ML infrastructure, within a fast-paced environment.