GenAI Software Engineer III - AI/ML at Scale

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

Job summary

Google LLC in Mountain View, CA, is hiring software developers for AI-powered products at scale. You will work across information retrieval, distributed computing, and large-scale systems, applying GenAI and ML techniques to real-world ads tech and search-related challenges.

Responsibilities include coding, reviews, and contributing to documentation while collaborating with Google Research and DeepMind. In-person interviews are common for this role.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or 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 (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.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Bachelor’s degree or equivalent

Python & C++ programming

End-to-end ML experience

GenAI concepts (LLM, multimodal)

Education

Bachelor’s degree or equivalent

Master’s degree or PhD (CS or related)

Job description

Google LLC in Mountain View, CA, is hiring software developers for AI-powered products at scale. You will work across information retrieval, distributed computing, and large-scale systems, applying GenAI and ML techniques to real-world ads tech and search-related challenges.

Responsibilities include coding, reviews, and contributing to documentation while collaborating with Google Research and DeepMind. In-person interviews are common for this role.