Security AI/ML Engineer, SecOps (Mid)

Google; United States; On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Software Engineer III for Google Security Operations, AI/ML in Reston, VA. The role emphasizes GenAI techniques, full-stack development, and collaboration with security analysts to build scalable security tooling.

The position requires mid-level experience with ML frameworks and end-to-end development, with on-site work and in-person interviews common. US compensation ranges from $147,000 to $210,000 plus bonus and equity.

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 is seeking a Software Engineer III for Google Security Operations, AI/ML in Reston, VA. The role emphasizes GenAI techniques, full-stack development, and collaboration with security analysts to build scalable security tooling.

The position requires mid-level experience with ML frameworks and end-to-end development, with on-site work and in-person interviews common. US compensation ranges from $147,000 to $210,000 plus bonus and equity.