Staff Software Engineer, Ads Marketplace Optimization - Google

Key Responsibilities

• Architect, build, and scale end‑to‑end recommendation pipelines (retrieval, prediction, ranking, embedding) for a high‑throughput ads marketplace.
• Collaborate with product, data science, and infrastructure teams to define system requirements and translate them into robust, low‑latency services.
• Design and implement scalable ML model serving infrastructure using Kubernetes and Google Cloud Platform, ensuring high availability and observability.
• Drive best practices for testing, continuous integration, and continuous deployment of ML‑driven services.
• Mentor senior engineers, conduct code reviews, and champion technical excellence across the team.

Requirements

• 8+ years of professional software development experience, with at least 5 years focused on testing, launching, and maintaining production systems.
• 5+ years building and deploying recommendation or ranking models in production, including experience with retrieval, prediction, and embedding techniques.
• Strong expertise in ML design and implementation, using frameworks such as TensorFlow or PyTorch, and proficiency in Python and C++.
• Hands‑on experience with container orchestration (Kubernetes) and cloud services (Google Cloud Platform) for large‑scale model serving.
• Proven ability to design scalable architectures, lead technical projects, and mentor engineers in a fast‑paced environment.