Senior Software Engineer, Search Ads, Quality and AI
Role details
Job location
Tech stack
Job description
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 manage information at a 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., * Develop and maintain machine learning models while writing and testing related products or system development code.
- Design and iterate on machine learning model architectures and training recipes, improving quality and efficiency across the entire model life-cycle.
- Solve machine learning related problems by designing, running, and analyzing experiments using problem-solving and statistical methods.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., prompt optimization and training recipes, accuracy, testability, and efficiency).
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in C++ and Python.
- 3 years of experience with one or more of the following: deep learning, reinforcement learning, generative AI, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture., * 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.
- Experience developing accessible technologies.