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Google DeepMind · 2 hours ago

Research Scientist/Engineer, Model Threat Defense

Mountain View, CA

Full-time

Hybrid

Mid, Senior Level

$166K/yr - $244K/yr

2+ years exp

Google DeepMind is a team of scientists and engineers advancing artificial intelligence for public benefit and scientific discovery. The role involves securing AI assets by identifying unauthorized distillation attempts and hardening models against such threats, contributing to the defense lifecycle of the Gemini family of models.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

No H1B

Security Clearance Required

Responsibilities

Research Defense Strategies: Research techniques to detect distillation and techniques to actively defend against distillation

Deploy Detection & Mitigation Systems: Design and build systems that detect abd mitigate unauthorized capability extraction

Evaluate Impact: Rigorously measure the effectiveness of defense mechanisms, balancing the trade-offs between model robustness, defensive utility, and core model performance

Collaborate and Publish: Work closely with world-class researchers across GDM, Google, and the industry to publish groundbreaking work, establish new benchmarks, and set the standard for responsible AI defense

Qualification

Model SecurityAdversarial Machine LearningLarge-scale ML SystemsModel DistillationSoftware EngineeringML FrameworksResearch ImpactCollaborationProblem Solving

Required

Ph.D. in Computer Science or a related quantitative field, or a B.S./M.S. in a similar field with 2+ years of relevant industry experience

Demonstrated research or product expertise in a field related to model security, adversarial ML, post-training, or model evaluation

Experience designing and implementing large-scale ML systems or counter-abuse infrastructure

Preferred

Deep expertise in one or more of the following areas: model distillation, model stealing, security, memorization, Reinforcement Learning, Supervised Fine-Tuning, or Embeddings

Proven experience in Adversarial Machine Learning, with a focus on designing and implementing model defenses

Strong software engineering skills and experience with ML frameworks like JAX, PyTorch, or TensorFlow

A track record of landing research impact or shipping production systems in a multi-team environment

Current or prior US security clearance

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees