Research Scientist, Frontier AI Safety and Responsibility
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 166000 - 244000
Posted on:
20-10-2025
Vacancies:
1 Vacancy
Job Summary
Snapshot
Our team is focused on ensuring the safe and beneficial development of Googles most advanced AI systems as they progress toward AGI. We specialize in creating and implementing cutting-edge algorithms and methods to address the unique safety challenges posed by frontier models and autonomous agents. Our work involves a mix of foundational research and large-scale empirical validation to build scalable solutions for model alignment interpretability and responsibility. We collaborate closely with other research and product teams to ensure our AI systems are robust predictable and aligned with human values.
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The role
This Research Scientist position is a unique opportunity to lead foundational research on frontier AI safety problems. You will be instrumental in developing the core scientific understanding and techniques that allow us to build and deploy increasingly autonomous and capable AI systems responsibly.
Key responsibilities
- Conceive design and lead research projects to develop novel algorithms for the safety alignment and interpretability of advanced AI agents.
- Drive the full research lifecycle from theoretical ideation and mathematical formulation to implementation and large-scale empirical validation.
- Design and conduct rigorous evaluations and red-teaming exercises to discover and mitigate potential risks in next-generation models.
- Write software to implement research ideas and iterate quickly.
- Collaborate with world-class research and engineering teams to embed research directly into the AI development lifecycle.
- Stay at the forefront of the field by engaging with the latest theoretical research in machine learning and AI safety.
About you
You are passionate about the long-term societal implications of AI and have a strong desire to solve the fundamental technical challenges required for its safe development. You possess deep theoretical knowledge and the strong engineering skills needed to bring complex research ideas to life.
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:
- A PhD in Computer Science Machine Learning or a related technical field or equivalent practical experience.
- Experience in designing and implementing machine learning algorithms in Python.
- Hands-on experience with at least one major deep learning framework such as JAX PyTorch or TensorFlow.
- A strong mathematical background and the ability to engage with theoretical research in machine learning.
- Working experience with modern AI architectures (e.g. Transformers Diffusion) and a comprehensive knowledge of machine learning fundamentals.
- A strong interest in ensuring AI development benefits humanity.
In addition the following would be an advantage:
- A strong track record of research including publications in top-tier peer-reviewed conferences or journals (e.g. NeurIPS ICML ICLR).
- Expertise in one or more of these areas: AI safety model interpretability (explainable AI) or AI alignment.
- Experience leading research projects and engaging in team collaborations to meet ambitious research goals.
- Experience with large-scale training and evaluation of deep learning models
The US base salary range for this full-time position is between $166000 - $244000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 6pm ET Friday 31st October 2025
Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
