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.
2 years of experience with state-of-the-art GenAI techniques or concepts.
2 years of experience in a people management or team leadership role.
Experience in software engineering for recommendation systems or feed ranking architectures.
Responsibilities
Define technical goals and architect high-performance model architectures and systems at scale.
Drive AI innovation by integrating cutting-edge AI and LLMs for improved relevance and efficiency.
Optimize infrastructure and compute by leading training and serving optimization strategies.
Manage and mentor a high-performing team of ML and software engineers, providing technical guidance.
Collaborate across functions with ML Research, Product Management, and Infrastructure teams to create impactful systems.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Retirement savings plan with company match.
Employee development and training opportunities.
Access to cutting-edge technology and resources.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
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.
About the job
As a Staff Machine Learning Engineer and Tech Lead Manager in Google Display Ads, you will lead the team powering generative retrieval, and LLM-driven content intelligence. You will define the technical goal and architect next-generation retrieval and personalization systems operating at global scale across billions of daily impressions. In this role, you will directly manage and mentor a high-impact engineering team while partnering with Google DeepMind and Google Research to shape the future of digital advertising.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
