Software Engineer III, AI/ML, Search Ads Bidding
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Minimum qualifications:
- 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).
Preferred qualifications:
- 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 productionizing machine learning systems or designing experiments.
- Experience with Google Ads systems or specialized ML tools such as TensorFlow, Keras, or TFX.
- Ability to to write high quality and low latency code/models that can train on and serve on every query.
About the job
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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and maintain machine learning models using advanced AI techniques to predict user interactions and optimize advertiser return on investment (ROI).
- Innovate on machine learning model design to improve quality, stability, and efficiency throughout the entire model lifecycle.
- Analyze experiments using statistical methods to solve complex machine learning problems and improve model generalization.
- Enhance model health and stability by contributing to code health, automation, and alerting systems.
- Collaborate with Research and Infrastructure teams to test and implement the latest technologies in production environments.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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