Research Scientist – Reasoning Models for Physical Systems (AI Software Tools)
Tasks
- Build experiment selection and belief update systems under uncertainty
- Collaborate with quantum control and calibration teams
- Design reasoning and planning models for physical systems
- Develop symbolic probabilistic or hybrid representations
- Integrate domain knowledge and constraints into AI architectures
Perks/Benefits
- Direct access to quantum processors
- Flexible work culture
- High autonomy
- Short feedback loops
- Technical ownership
Skills/Tech-stack
Bayesian Methods | Causal Inference | Machine Learning | Planning | Probabilistic Modeling | Python | Robotics | Symbolic Reasoning
Education
Roles
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