Research Engineer, AGI Safety and Alignment, DeepMind

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them.

Responsibilities:

• Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.
• Develop adversarially robust AGI control systems and implement them in production.
• Research interpretability techniques to understand what AI systems are thinking.
• Work with product teams to ensure that our research is correctly adopted.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
• 3 years of experience in software development, ML engineering, or ML research.
• Experience working with research teams.

Preferred qualifications:

• Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.
• Experience with training large models (e.g., supervised fine-tuning, RLHF).