Principal AV Behavior and AI Safety Engineer: Technical Lead
General MotorsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Demonstrated experience running or managing red teaming or novel testing programs, particularly for AI systems
- A strong, comprehensive understanding of sociotechnical AI risks from recognized systemic risks to emergent risk areas
- A solid technical understanding of how modern AI models, particularly large language models, are built and operate
- Strong program management skills with a track record of successfully delivering complex, cross-functional projects
- Demonstrated ability to work within cross-functional teams, fostering collaboration, and influencing outcomes
- Ability to present complex technical findings to both technical and non-technical teams, including senior stakeholders
- Ability to thrive in a fast-paced environment, and an ability to pivot to support emerging needs
- Demonstrated ability to identify and clearly communicate challenges and limitations in testing approaches and analyses
- Direct, hands-on experience in safety evaluations and developing mitigations for advanced AI systems (advantage)
Responsibilities
- Leading and managing the end-to-end responsibility & safety red teaming programme for Google DeepMind
- Designing and implementing expert red teaming of advanced AI models to identify risks, vulnerabilities, and failure modes across emerging risk areas such as CBRNe, Cyber and socioaffective behaviors
- Partnering with external red teamers and specialist groups to design and execute novel red teaming exercises
- Collaborating closely with product and engineering teams to design and develop innovative red teaming tooling and infrastructure
- Converting high-level risk questions into detailed testing plans, and implementing those plans, influencing others to support as necessary
- Working collaboratively alongside a team of multidisciplinary specialists to deliver on priority projects and incorporate diverse considerations into projects
- Communicating findings and recommendations to wider stakeholders across Google DeepMind and beyond
- Providing an expert perspective on AI risks, testing methodologies, and vulnerability analysis in diverse projects and contexts
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the Red Teaming Lead position?
This information is not specified in the job description.
Is this Red Teaming Lead role remote or office-based?
This information is not specified in the job description.
What skills and experience are required for the Red Teaming Lead role?
Demonstrated experience running or managing red teaming or novel testing is required. The role involves expertise in AI risks, testing methodologies, vulnerability analysis, and working with multidisciplinary teams.
What is the team culture like at Google DeepMind for this role?
You'll work with a diverse team of scientists, engineers, machine learning experts, and multidisciplinary specialists, collaborating closely with product, engineering teams, and external partners, with safety and ethics as the highest priority.
What makes a strong candidate for the Red Teaming Lead position?
Strong candidates have demonstrated experience running or managing red teaming or novel testing, expertise in AI risks and vulnerabilities, and the ability to lead programs, collaborate across teams, and communicate findings effectively.
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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