Senior Software Engineer, AI/ML, Creative Intelligence

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. Minimum Qualifications Bachelor’s degree or equivalent practical experience. 5 years of experience with software development using one or more general-purpose programming languages (e.g., Python, Java, C++, Go). 3 years of experience testing and launching software products, and 3 years of experience with software design and architecture. Preferred Qualifications Master's degree or PhD in Computer Science or related technical field. Experience with ML frameworks (e.g., TensorFlow, JAX) and production ML platforms (e.g., TFX, AdBrain). Experience with large-scale data processing and distributed systems, and with data structures and algorithms. Experience with generative models and their applications. Experience working with and mentoring junior engineers. Familiarity with online advertising systems, creative optimization, personalization, or recommender systems. Responsibilities Lead end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI, from concept to production. Define the technical strategy and roadmap for key ML components, ensuring alignment with product goals and driving measurable impact through experimentation. Build and integrate scalable ML pipelines and services, collaborating with infrastructure and serving teams to power creative optimization. Analyze performance metrics, deriving insights, and implementing algorithmic improvements for creative selection, freshness, and exploration. Mentor engineers and promote best practices in applied machine learning and system design. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google