Machine Learning Engineer
Tasks
- Build real time parameter steering for calibration
- Collaborate with product R and D and hardware teams to deliver internal libraries and SDKs
- Deploy validate and iterate machine learning solutions with customers and partner labs
- Design machine learning systems for quantum processor calibration and control
- Develop Bayesian inference methods for parameter tuning and drift tracking
- Develop Python based machine learning services and libraries
- Develop and maintain agentic frameworks for autonomous system control
- Develop probabilistic modeling approaches for safe hardware deployment
- Develop reinforcement learning policies for adaptive measurement
- Integrate machine learning libraries with quantum control stack
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian Inference | Code review | Deep learning | Error correction | Git | Machine Learning | Meta Learning | Optimal Control | Probabilistic Modeling | Python | Quantum Computing | Quantum error correction | Qubit calibration | Randomized Benchmarking | Reinforcement Learning | Sim-to-Real | Testing
Education
Regions
Countries
States
Cities
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