Research Engineer, AGI Safety and Alignment, DeepMind

About the Job

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.

In this role, you will contribute to critical research and development, focusing on deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

Qualifications

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).

Additional Information

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.