Software Engineer III, GenAI Security Ops & ML

Google Inc.; Reston (VA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Reston, VA is seeking a Software Engineer III in Google Security Operations, AI/ML. This mid-level role requires developing end-to-end applications, implementing GenAI solutions, and collaborating across teams to advance security tooling.

The candidate should have deep experience with ML frameworks and modern GenAI techniques, with strong coding and system design skills. In-person interviews are typically required as part of the process.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• Experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience in full-stack software development, including designing, developing, and deploying end-to-end applications.
• Experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch, or JAX) and applying machine learning algorithms to solve technical or business problems.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.).
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• Design, develop, and deliver high-quality code for security products and systems

Job description

Google Reston, VA is seeking a Software Engineer III in Google Security Operations, AI/ML. This mid-level role requires developing end-to-end applications, implementing GenAI solutions, and collaborating across teams to advance security tooling.

The candidate should have deep experience with ML frameworks and modern GenAI techniques, with strong coding and system design skills. In-person interviews are typically required as part of the process.