Machine Learning Engineer
Tasks
- Build probabilistic modeling approaches
- Collaborate with product R and D and hardware teams
- Create real time parameter steering for calibration
- Deploy and validate ML solutions in experimental environments
- Develop Bayesian inference methods
- Develop Python based ML services and libraries
- Develop adaptive measurement methods
- Develop reinforcement learning policies
- Implement parameter tuning and drift tracking
- Integrate ML services with quantum control stack
- Maintain agentic frameworks for autonomous control
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian Inference | Code review | Deep learning | Git | Machine Learning | Meta Learning | Multi Objective Reinforcement Learning | Optimal Control | Probabilistic Modeling | Python | QEC | Quantum Computing | Qubit calibration | Randomized Benchmarking | Reinforcement Learning | Sim-to-Real | Testing
Education
Regions
Countries
States
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