Staff ML Software Engineering Manager, Google Display Ads

The Google Display Ads (GDA) Machine Learning (ML) team is at the forefront of revolutionizing digital advertising through cutting-edge machine learning. We develop the core intelligence that powers Google's display ads, building sophisticated models, signal representations, and systems for retrieval, ranking, and pricing. The work is the secret sauce behind optimized bidding and automation, directly impacting the open and free internet.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Define Technical Goal and Retrieval Architecture: Set the long-term roadmap and architect high-performance model architectures, embeddings, generative retrieval, and systems at scale.
• Drive AI Innovation: Pioneer the integration of cutting-edge AI and LLMs to deliver step-change improvements in relevance, model performance, and system efficiency.
• Optimize Infrastructure and Compute: Lead training and serving optimization strategies, maximizing TPU/GPU cluster utilization with high-performance production code (e.g., C++).
• Manage and Mentor Engineers: Lead and grow a high-performing team of ML and software engineers, providing technical guidance, driving execution, and elevating engineering excellence.
• Collaborate Across Functions: Partner cross-functionally with ML Research, Product Management, and Infrastructure teams to translate advanced concepts into impactful, production-ready systems.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.
• Experience in software engineering for recommendation systems or feed ranking architectures.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
  

In most instances, this position requires in-person interviews as part of the hiring process.