Software Engineer III, AI​/ML, Search Ads Bidding

Share Software Engineer III, AI/ML, Search Ads Bidding

Google place Mountain View, CA, USA

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

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python or C++ .
• 2 years of experience applying mathematical modeling, numerical analysis, or statistical methods to solve engineering or scientific problems.
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 1 year of experience with end to end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Master's degree or PhD in Computer Science or related technical fields.
• Experience with machine learning, statistical analysis, applied math, or operation research in the industry or in the academic sector.
• Experience product ionizing machine learning systems or designing experiments.
• Experience with Google Ads systems or specialized ML tools such as Tensor Flow, Keras, or TFX.
• Ability to to write high quality and low latency code/models that can train on and serve on every query.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google’s machine learning models drive the global Ads business, serving billions of users and generating significant business.

As a Software Engineer on the Proxy bidder ML team, you will be involved in the full machine learning model lifecycle - from design and training to deployment and serving in production at the scale of billions of Search Ads. We are the team specializing in AI and ML for Search Ads bidding. Our mission is to build and deploy the large-scale Machine Learning models that predict user value, empowering advertisers to achieve peak return on investment (ROI) and driving a vital component of Google's business.

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 Deep Mind 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.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact…