Research Scientist, Security
London, UK
DeepMind
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.Applications close at 5pm on Friday 10th March and will be reviewed shortly thereafter.
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity 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.
Snapshot
Conducting research into any transformative technology comes with the responsibility to build mechanisms for safe and secure development and deployment at every step. AI Security research at DeepMind investigates questions related to security, privacy, robustness, interpretability, and trust in machine learning systems and the intersection of traditional information systems. Proactive research in these areas is essential to the fulfilment of the long-term goal of DeepMind: to build safe, secure and socially beneficial AI systems.
Research on AI security draws on expertise in computer security, vulnerability research, deep learning, reinforcement learning, statistics, and foundations of agent models. Research Scientists work on the forefront of technical approaches to designing systems that are secure by design and function as intended while discovering and mitigating emerging risks, in close collaboration with other AI research groups within and outside of DeepMind.
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.
Our approach encourages collaboration across all groups within the Research and Engineering Team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.
About Us
We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible
Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.
The role
Key responsibilities:
- Identify and investigate failure modes for current and future AI systems, and partner with the broader engineering group to build solutions to address them
- Conduct empirical or theoretical research into technical safety and security mechanisms for AI systems in coordination with the broader technical agenda of research at DeepMind
- Collaborate with research teams externally and internally to ensure that AI capabilities research is informed by and adheres to the most advanced safety and security research and protocols.
- Report and present research findings and developments to internal and external collaborators with effective written and verbal communication.
About you
To set you up for success as a Research Scientist on this team, we look for the following skills and experience:
- PhD in a technical field or equivalent practical experience.
- Strong engineering track record including experience with distributed systems and one or more machine learning frameworks.
In addition, the following would be an advantage:
- PhD in machine learning, computer science, statistics, computational neuroscience, mathematics, or physics.
- Relevant research experience in deep learning, machine learning, reinforcement learning, statistics, or computational neuroscience.
- A real passion for AI/ML and security
Competitive salary applies
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Distributed Systems Engineering Machine Learning Mathematics PhD Physics Privacy Reinforcement Learning Research Security Statistics
Perks/benefits: Career development Competitive pay
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs