Machine Learning Engineer
Tasks
- Build and maintain Python based machine learning services
- Collaborate with product R and D and hardware teams to deliver SDKs and training materials
- Deploy and validate machine learning solutions in real experimental environments
- Develop Bayesian inference methods for drift tracking
- Develop agentic frameworks for autonomous system control
- Develop probabilistic modeling approaches for adaptive measurement
- Develop real time parameter steering for calibration
- Develop reinforcement learning methods for parameter tuning
- Integrate machine learning libraries with quantum control stack
- Iterate on machine learning solutions with customers and partner labs
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Bayesian Inference | Code review | Control Theory | Deep learning | Error correction | Git | Learning algorithms | Machine Learning | Meta Learning | Multi Objective Reinforcement Learning | Online Control | Optimal Control | Optimal control theory | Probabilistic Modeling | Probabilistic Programming | Python | QEC | Quantum Computing | Quantum Error | Quantum error correction | Qubit calibration | Randomized Benchmarking | Real Time | Real-time control | Reinforcement Learning | Reinforcement learning algorithms | Sim-to-Real | Software Engineering | Testing
Education
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