Postdoctoral Associate AI Performance and Safety
MIT FutureTech is an interdisciplinary MIT research group studying technical and economic progress in computing and AI.
About MIT FutureTech
Based at MIT CSAIL, FutureTech researches how advances in computing and AI affect scientific progress, productivity, and economic prosperity. Its work combines computer science, economics, and management, and includes public AI-risk data resources and research outputs.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, implement, and analyze machine-learning experiments on AI performance, efficiency, safety, robustness, and generalization. You will develop agent evaluation arenas and alignment-evaluation tools, contribute to research and policy writing, and participate in workshops and external collaborations.
Requirements
- PhD in Computer Science, Machine Learning, AI, or a related field
- Deep learning
- TensorFlow
- PyTorch
- Software engineering
- Model training
- Fine-tuning
- Reinforcement learning
- Retrieval-augmented generation
- AI safety
- AI alignment
- Interpretability
- Multi-agent system
- Empirical research
Responsibilities
- Design and conduct AI experiments on performance, robustness, safety, and generalization
- Develop agent evaluation arenas
- Build tools and frameworks for evaluating AI alignment techniques
- Integrate AI safety insights into research and policy recommendations
- Contribute to research papers, white papers, and public reports
- Participate in workshops, conferences, and external collaborations
Hiring Process
Selected candidates will first be interviewed via Zoom.
