Senior AI/ML Engineer - GenAI & Infra

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

Job summary

Google is seeking software engineers to work on next‑generation technologies impacting billions of users. You’ll contribute to large-scale systems across AI, information retrieval, and distributed computing while collaborating with cross‑functional teams.

Roles involve joining projects critical to Google's needs with opportunities to switch teams as the business grows. Engineers at Google work across ads, search, display, shopping and analytics, delivering reliable experiences and measurable

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with one or more general purpose programming languages including but not limited to: C/C++, Python, or Java.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: ML modeling, ML infrastructure, or specialization in another ML field.

Responsibilities

• Write 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/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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

General AI/ML concepts

Team collaboration

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

C/C++

Python

Java

ML infrastructure

Job description

Google is seeking software engineers to work on next‑generation technologies impacting billions of users. You’ll contribute to large-scale systems across AI, information retrieval, and distributed computing while collaborating with cross‑functional teams.

Roles involve joining projects critical to Google's needs with opportunities to switch teams as the business grows. Engineers at Google work across ads, search, display, shopping and analytics, delivering reliable experiences and measurable