Senior Software Engineer, AI/ML, Ads Retrieval and Resource Efficiency Optimization

Role Overview

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Requirements & Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Strong skills in implementing statistical analysis and data wrangling using Python and SQL.
• Strong background in mathematical optimization.

Application Instructions

Apply directly on Google Careers at Senior Software Engineer, AI/ML, Ads Retrieval and Resource Efficiency Optimization↗.

Direct application sign-in: Submit Application↗

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