Staff Software Engineer, Adversarial ML, Core

About the Role

Key Responsibilities

• Develop and expand the machine learning (ML) red team program and its overall impact.
• Plan, lead, and execute realistic ML red team exercises, stepping into the role of an attacker targeting ML deployments in our products.
• Design and build tools and infrastructure to support ML red team exercises.
• Document and present exercise results to diverse audiences, from technical engineers to non-technical subject matter experts and senior leadership.
• Collaborate closely with product teams to help them identify and implement mitigations against successful attacks on ML deployments.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or another ML field.
• 5 years of experience leading ML design and optimizing ML infrastructure, including model deployment, evaluation, data processing, debugging, and fine tuning.
• 5 years of experience testing, and launching software products.
• Experience in adversarial testing, red teaming, GenAI/AI safety, ethics, or responsibility.
• Experience in AI/ML security research, including adversarial machine learning, prompt injection, model extraction, or privacy-preserving ML.

Nice to Have

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

Qualifications

• Formal educational background in Engineering, Computer Science, or related fields (preferred).

Benefits & Perks

• US base salary range of $197,000-$291,000 plus bonus, equity, and benefits.
• Additional benefits as offered by Google.