Machine Learning Engineer
Core
Design, build, and deploy machine learning systems to improve the calibration, control, and operation of quantum processors.
Role type
Senior IC machine learning engineer (quantum control)
Builds
ML-driven control policies and services for quantum hardware
Domain
Quantum computing + Machine Learning
Deliverable
production ML models
Required skills
reinforcement learning, Bayesian inference, probabilistic modelling, Python, software engineering, sim-to-real transfer, multi-objective RL, meta-learning
Preferred skills
agentic AI, quantum computing concepts (qubit calibration, QEC, optimal control)
Responsibilities
Develop RL and Bayesian methods for parameter tuning and drift tracking; Develop real-time parameter steering for calibration; Maintain agentic frameworks for autonomous control; Build Python-based ML services integrating with control stack; Deploy and validate ML solutions in experimental environments; Collaborate with product, R&D, and hardware teams
Seniority
Senior, hands-on IC
