The Software Engineer, AI and Data Protection role at Google focuses on building and operating high-throughput, high-availability content analysis services that enhance Google's AI and data protection capabilities. The team is responsible for developing infrastructure, APIs, algorithms, and models that ensure the secure classification and redaction of sensitive information. This position involves contributing to high-impact initiatives and providing technical guidance to other engineers while collaborating with partner teams. The role is critical for safeguarding data for Google and its Cloud customers.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure.
• Experience with distributed processing and large-scale data processing.

• Develop server code in C++, Java or Go for content analysis with high availability at scale.
• Develop novel algorithms for detecting AI security risks and classifying sensitive information.
• Train, evaluate, and productionize ML/NLP models for token tagging and payload classification tasks.
• Develop data mining pipelines and synthetic data generation pipelines for training and evaluation.
• Partner with research groups on developing innovative ML/NLP solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.