Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and implement machine learning systems aimed at enhancing the calibration, control, and functioning of quantum processors.

• Create reinforcement learning, Bayesian inference, and probabilistic modeling strategies for parameter adjustment, drift monitoring, and adaptive measurement on actual hardware.

• Innovate real-time parameter steering for calibration during Quantum Error Correction (QEC) and across circuits.

• Establish and sustain agentic frameworks for the autonomous control and calibration of systems.

• Develop and support Python-based machine learning services and libraries that integrate with the Quantum Machines control framework, including QUA, Qualibrate, and the OPX1000.

• Engage directly with clients and partner laboratories to implement, validate, and refine machine learning solutions in authentic experimental settings.

• Collaborate with product, research and development, and hardware teams on internal libraries, customer-facing software development kits (SDKs), and educational resources.

⛳️ Requirements

• PhD or Master's degree in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related discipline.

• Over 4 years of pertinent experience.

• Strong foundation in Machine Learning and Deep Learning, with practical experience in at least one of the following: deep learning, reinforcement learning, or agentic AI.

• Proficient in Python, including experience with scientific or systems-oriented codebases.

• Solid grasp of software engineering principles, encompassing architecture, Git workflows, testing, and code reviews.

• Demonstrated experience in advancing machine learning from prototype to deployment under real-world conditions, including non-stationary data, costly evaluations, or safety-critical action spaces.

• Background in robotics, online control, autonomous vehicles, or hardware-in-the-loop machine learning is highly applicable.

• Excellent problem-solving abilities and a customer-centric approach.

• Capability to work independently as well as within multidisciplinary teams.

• Proven history of software development and outstanding technical communication skills.

• Understanding of quantum computing principles, including qubit calibration, randomized benchmarking, QEC, and optimal control.

• Experience with sim-to-real, multi-objective reinforcement learning, or meta-learning is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and growth.

• Engaging work environment with a focus on innovation.

• Comprehensive health and wellness benefits.