Research Engineer, Frontier Safety Mitigations, DeepMind

Job Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in Large Language Model (LLM) development, fine-tuning, or safety evaluation methodologies.
• Experience taking research from concept to product.
• Experience in areas such as Safety and Alignment.
• Familiarity with concepts like the Frontier Safety Framework, adversarial attacks, and in-model/out-of-model mitigation strategies.
• Ability to build large-scale research or engineering systems.

What You'll Be Doing:

• Develop high quality evaluations that capture risks arising in frontier safety domains, such as cybersecurity and CBRN.
• Design, implement, and productionalize a range of safety mitigations, including in-model approaches (e.g., Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) training recipes) and out-of-model solutions (e.g., logging, monitoring).
• Own the data and evaluation pipeline to measure the effectiveness of our mitigations.

Perks and Benefits:

• Opportunity to work at DeepMind - a leading AI lab.
• Decisive role in ensuring safety and behavior of latest models.
• Diverse learning opportunities and varied career pathways.
• Opportunity to work on AI technologies for public benefit and scientific discovery.
• Commitment to safety and ethics as the highest priority.