Machine Learning Engineer
Tasks
- Build Python based machine learning services and libraries
- Collaborate with product R and D and hardware teams
- Deploy validate and iterate machine learning solutions in experimental labs
- Design machine learning systems for quantum control
- Develop Bayesian inference methods
- Develop agentic frameworks for autonomous control
- Develop probabilistic modeling for parameter tuning
- Develop real time parameter steering for calibration
- Develop reinforcement learning policies
- Integrate machine learning with quantum control stack
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Bayesian Inference | Code review | Deep learning | Error correction | Git | Machine Learning | Meta Learning | Multi Objective Reinforcement Learning | Non Stationary Data | Online Control | Optimal Control | Probabilistic Modeling | Python | Python Software Development | Quantum Computing | Quantum error correction | Qubit calibration | Randomized Benchmarking | Reinforcement Learning | Simulation to Real | Software development | Testing
Education
Regions
Countries
States
Cities
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