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About the role
We are looking for a highly adaptable Research Engineer to join our Responsible Frontier AI Research team. In this role, you will drive rapidly evolving research engineering priorities. Because the landscape of responsible AI shifts quickly, you will need to pivot seamlessly between different research initiatives and nimble experiments, building robust infrastructure, scaling evaluations, and implementing mitigations.
What they're looking for
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience
- 8 years of experience in machine learning engineering or large-scale software systems
- 3 years of experience in Python programming
- 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow
More about this role
- Design, prototype, scale engineering solutions, and run rigorous experiments to address emerging research priorities within the Responsibility portfolio.
- Work with Research Scientists to advance the state of the art in Responsible AI.
- Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.
- Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
- 8 years of experience in machine learning engineering or large-scale software systems.
- 3 years of experience in Python programming
- 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.
- Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on Machine Learning.
- Experience working directly on AI safety, or responsible AI research.
- Experience in Python and C++ for high-performance ML library development.
- Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI...
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