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 ...
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Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Carlsbad, CA · On-site
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Machine Learning Engineer
Chantilly, VA · On-site
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
Machine Learning Engineer
Chantilly, VA · On-site
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
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 ...
Machine Learning Engineer
Herndon, VA · On-site
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
Machine Learning Engineer
Herndon, VA · On-site
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
Quick apply
Design, develop, and implement machine learning models and algorithms to solve specific business problems. * Build and maintain scalable and robust machine learning pipelines for data ingestion ...
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
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 ...
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 ...
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 ...
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 ...
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 ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing 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 ...
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 ...
Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...
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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 ...
Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...
New
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Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...
New
Machine Learning Engineer
Merrimack, NH · On-site
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying ...
Machine Learning Engineer
Merrimack, NH · On-site
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
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Full-time
Re-posted yesterday
Job description
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:
Requirements
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