We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...
Comp days are provided when weekend travel is required. KEY RESPONSIBILITIES * Build and maintain ETL pipelines that prepare structured and unstructured data for machine learning applications * Clean ...
Comp days are provided when weekend travel is required. KEY RESPONSIBILITIES * Build and maintain ETL pipelines that prepare structured and unstructured data for machine learning applications * Clean ...
Machine Learning Engineer
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Comp days are provided when weekend travel is required. KEY RESPONSIBILITIES * Build and maintain ETL pipelines that prepare structured and unstructured data for machine learning applications * Clean ...
Machine Learning Engineer
OR · On-site +1
Comp days are provided when weekend travel is required. KEY RESPONSIBILITIES * Build and maintain ETL pipelines that prepare structured and unstructured data for machine learning applications * Clean ...
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Engineer, Machine Learning
Washington, DC · On-site
$125 - $150/hr
Role Summary The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties * Develop ...
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
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Carlsbad, CA · On-site
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Machine Learning Engineer
Carlsbad, CA · On-site
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Manhattan, NY · On-site
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Manhattan, NY · On-site
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Carlsbad, CA · On-site
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Carlsbad, CA · On-site
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New
Machine Learning Engineer
Seattle, WA · On-site
We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine ...
New
The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...
The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...
Job Summary : Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves ...
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Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
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New York, NY · On-site
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
Quick apply
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New York, NY · On-site
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Reston, VA · On-site
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Machine Learning Engineer
Reston, VA · On-site
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Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you ...
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Job ID: 21-13833 Responsibilities • Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and ...
Job ID: 21-13833 Responsibilities • Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and ...
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex ...
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex ...
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Atlanta, GA · On-site
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Quick apply
Machine Learning Engineer
Atlanta, GA · On-site
W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
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Machine Learning Engineer
Remote
Full-time
Re-posted 12 days ago
Job description
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies.
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will work at the intersection of machine learning, quantum physics, and software engineering, translating noisy, non-stationary, safety-critical control problems into ML solutions that run on real hardware in production labs.
You will develop reinforcement learning policies, Bayesian inference methods, and agentic frameworks that make quantum control more autonomous, more sample-efficient, and more robust to drift. This position offers unprecedented exposure to diverse qubit types and quantum architectures, with a tight feedback loop between your models and the systems they steer, and the opportunity to deliver groundbreaking ML-driven solutions to the labs and companies defining the next generation of quantum systems.
Responsibilities:
- Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
- Develop real-time parameter steering for calibration during QEC and between circuits.
- Develop and maintain agentic frameworks for autonomous system control and calibration.
- Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
- Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
- Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.
Requirements
- PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
- Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
- Strong Python proficiency, including scientific or systems-oriented codebases
- Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
- Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
- Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
- Proven software development track record and excellent technical communication skills
- Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
- Experience with sim-to-real, multi-objective RL, or meta-learning- advantage