Principal AV Behavior and AI Safety Engineer: Technical Lead
General MotorsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Bachelor's degree in a technical subject (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or a relevant scientific field with strong computational experience (e.g., bioinformatics, computational chemistry, biotechnology, computational materials science), or equivalent practical experience
- Proven ability to write clean, maintainable, and efficient Python
- Knowledge of concepts in mathematics, statistics, and machine learning needed for understanding cutting-edge research in AI, CBRN-related modeling, and risk assessment
- Ability to present and explain technical results clearly to non-experts and leadership stakeholders
Responsibilities
- Design and develop robust evaluations to test potential CBRN risks arising from cutting-edge AI models with strong capabilities in the physical sciences
- Develop and maintain infrastructure for these evaluations
- Run these evaluations prior to releases for new AI models
- Resolve potential CBRN risks with state-of-the-art mitigations
- Clearly communicate results to decision-makers
- Collaborate with subject matter experts in CBRN, AI policy and ethics, model development, and scientific research
- Develop and maintain an understanding of trends in AI development, CBRN threat landscapes, governance, and relevant sociotechnical research to inform the design of new evaluations
Skills
Machine Learning
AI Evaluations
Risk Mitigations
Software Infrastructure
CBRN Risks
Physical Sciences
AI Ethics
AI Policy
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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