Minimum qualifications:

• Bachelor’s degree or equivalent practical experience
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
• 1 year of experience with data structures or algorithms
• 1 year of experience implementing core AI/ML concepts
  
  

Preferred qualifications:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• Experience with research in NLP/Generative AI or Graph Neural Networks (GNNs).
• Experience with emerging AI research areas (e.g., multi-agent systems.)
• Knowledge of AI Algorithms, Python, C++, Security, Machine Learning.
  
  

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.

In this role, you will be focused on applying AI to enhance security outcomes at Google. (leverage AI to empower data protection) For example, using AI to automatically determine the risk and privacy impact of a project.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Design and develop AI capabilities that directly contribute to security outcomes. This includes rapid prototyping to showcase feasibility and potential impact, and scaling successful prototypes into robust, deployable solutions.
• Collaborate with security analysts, researchers, engineers, and product teams across Google to identify and address cybersecurity challenges using innovative AI techniques.
• Maintain and enhance existing large-scale anomaly detection data pipelines and services, ensuring optimal performance through monitoring, testing, and optimization efforts.
• Play an active role in shaping the technical direction of the team and engage with the broader AI for cybersecurity research community. Share knowledge and insights gained from applied research and pilot projects, and contribute to the field by publishing research findings in relevant venues.
  
  
  

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 .