Machine Learning Engineer, Cloud Expansion, Retention

Job Description

Senior IC role building and scaling the machine learning systems behind Google Cloud’s Product Led Sales Assist initiative, which scores and surfaces high‑potential product‑qualified leads for sales teams. Owns end‑to‑end ML lifecycle, from data pipelines and feature engineering to model development, deployment and monitoring, including integrations with Gemini to improve scoring and insights for GCP growth teams.

Responsibilities

• Design, build and maintain scalable infrastructure for training, deploying and monitoring ML models at scale, including use of ML pipelines like XFlow.
• Refine existing ML models and implement new ones, exploring Gemini integrations for lead scoring, reasoning and insights.
• Develop and manage data pipelines that ingest and process product and marketplace data to feed ML models.
• Drive feature extraction and signal engineering to create rich inputs for product‑qualified lead scoring across many GCP products.
• Implement monitoring systems for pipeline and model health, ensuring reliability, accuracy and timely insights for stakeholders.

Benefits