Software Engineer, Anti-distillation Investigations, Enforcements and Infrastructure, DeepMind

About the job

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

As a software engineer on the Gemini Security team, you will build detection methods and interventions for protecting Gemini from unauthorized distillation.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Investigate unauthorized distillation of Gemini.
• Execute enforcements against unauthorized distillation of Gemini.
• Build agentic infrastructure for improving detection and enforcement against unauthorized distillation.

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 4 years of experience in a Software Engineering or Development capacity.
• 2 years of experience in anti-abuse investigations and enforcement.
• 2 years of experience in training and deploying machine learning models and agents for anti-abuse.

Preferred qualifications:

• Master's or PhD in Computer Science, Electrical Engineering, or a related field or equivalent practical experience.
  
• Experience in anti-abuse infrastructure.
• Strong programming skills in either Python or C++.
• A deep passion for AI technology and all of its possibilities.
  

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 4 years of experience in a Software Engineering or Development capacity.
• 2 years of experience in anti-abuse investigations and enforcement.
• 2 years of experience in training and deploying machine learning models and agents for anti-abuse.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.