Principal AV Behavior and AI Safety Engineer: Technical Lead
General MotorsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- PhD in Nuclear Engineering (postdoctoral preferred but not essential), or PhD in nuclear and particle physics with NNSA and/or weapons lab experience, or PhD in radiation physics with NNSA and/or weapons lab experience (postdoctoral preferred but not essential)
- Demonstrated history across some of the following specialisms: Radioactive material handling, radiation transport modeling, criticality safety analysis; Reactor systems, fissile material production/characterization, explosives coupling; Nuclear physics, radiation physics; Nuclear security, arms control, nonproliferation
- Ability to think critically and creatively about potential misuse scenarios of emerging technologies
- Ability to present technical results clearly
- Passion for accelerating science using innovative technologies
- Knowledge of or experience using narrow science models (e.g., AlphaFold, Enformer, or any other AI model used for specific scientific tasks)
Responsibilities
- Design, develop and execute radiological and nuclear evaluations to test the safety of cutting-edge AI models
- Clearly communicate results to relevant teams and decision-makers
- Collaborate with experts in various fields of science, AI ethics, policy and safety
- Influence harm frameworks and mitigation strategies
Skills
Nuclear Engineering
Radiological Safety
Nuclear Safety
Nuclear Physics
Risk Assessment
Red Teaming
Capability Elicitation
Data Analysis
Technical Communication
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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