Senior GenAI & ML Platform Engineer

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Bonus target 25%

Equity

Benefits

Job summary

Google is seeking software engineers to advance GenAI-powered content understanding and AI-generated content frameworks. You will develop and deploy GenAI technology, explore multimodality content understanding, and rebalance the knowledge graph and signals for stronger search experiences.

You will lead projects, optimize ML infrastructure, and collaborate across teams to deliver scalable systems with a focus on GenAI deployment and evaluation.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development and data structures/algorithms.
• 8 years of experience testing, maintaining or launching software products, and 5 years in design/architecture.
• 8 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
• 7 years leading technical project strategy, ML design, and optimizing ML infrastructure.
• 2 years with GenAI techniques or GenAI concepts.

Responsibilities

• Develop and deploy GenAI technology to empower content understanding and AI-generated content framework.
• Contribute to content tech evolvements including multimodality content understanding and AI-generated content features.
• Be responsible for holistic content modeling and supporting infrastructure that yield content understanding across content types.
• Enable downstream content applications with AI exploration capabilities and move product metrics.

Skills

Software development

Data structures & algorithms

ML/AI algorithms

Deep learning

GenAI techniques

Leading technical projects

Model deployment

Language modeling

Computer vision

Education

Bachelor's degree

Tools

JAX

TFX

TFlex

Job description

Google is seeking software engineers to advance GenAI-powered content understanding and AI-generated content frameworks. You will develop and deploy GenAI technology, explore multimodality content understanding, and rebalance the knowledge graph and signals for stronger search experiences.

You will lead projects, optimize ML infrastructure, and collaborate across teams to deliver scalable systems with a focus on GenAI deployment and evaluation.