GenAI ML Software Engineer III — Equity + Bonus

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

Job summary

Google LLC in Mountain View, CA is seeking software engineers with strong Python and C++ skills and experience in end-to-end machine learning and GenAI concepts. The role involves building scalable systems, collaborating across teams, and contributing to AI-powered features.

Applicants should have a bachelor's degree or equivalent practical experience, with preferred advanced degrees in CS-related fields. In-person interviews are common and compensation includes a substantial base salary, bonus,

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python and C++.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

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 GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python

C++

ML concepts

GenAI

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google LLC in Mountain View, CA is seeking software engineers with strong Python and C++ skills and experience in end-to-end machine learning and GenAI concepts. The role involves building scalable systems, collaborating across teams, and contributing to AI-powered features.

Applicants should have a bachelor's degree or equivalent practical experience, with preferred advanced degrees in CS-related fields. In-person interviews are common and compensation includes a substantial base salary, bonus,