Machine Learning Engineer
Core
Design, build, and deploy machine learning systems to improve the calibration, control, and operation of quantum processors in production labs.
Role type
Senior IC machine learning engineer (quantum control)
Builds
Autonomous quantum control systems and calibration pipelines for real hardware
Domain
Quantum computing + Machine Learning
Deliverable
production ML models
Required skills
reinforcement learning, Bayesian inference, probabilistic modelling, Python, deep learning, agentic AI, software engineering, sim-to-real transfer, multi-objective RL
Preferred skills
quantum computing concepts (qubit calibration, QEC, optimal control), meta-learning
Technologies
Python, QUA, Qualibrate, OPX1000
Responsibilities
Develop RL and Bayesian methods for parameter tuning and drift tracking; implement real-time parameter steering for calibration; maintain agentic frameworks for autonomous control; build Python-based ML services integrating with the control stack; deploy and validate ML solutions in experimental environments with customers; collaborate with product, R&D, and hardware teams.
Seniority
Senior, hands-on IC
