Research Engineer, AGI Safety and Alignment, DeepMind
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Role details
Tech stack
Job description
- 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Requirements
- 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., * 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).
Benefits & conditions
(part of Google) 5.05.0 out of 5 stars New York, NY $174,000 - $253,000 a year - Full-time
About the company
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. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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
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