We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
Machine Learning Engineer
Philadelphia, PA · On-site
The role focuses on the end-to-end Machine Learning lifecycle, including data engineering, model development, offline evaluation, production deployment, monitoring, retraining, and A/B testing. The ...
Machine Learning Engineer
Philadelphia, PA · On-site
The role focuses on the end-to-end Machine Learning lifecycle, including data engineering, model development, offline evaluation, production deployment, monitoring, retraining, and A/B testing. The ...
Machine Learning Engineer
Durham, NC · On-site
CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...
Machine Learning Engineer
Durham, NC · On-site
CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...
Machine Learning Engineer
College Park, MD · On-site
$120 - $180/hr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Engineer
College Park, MD · On-site
$120 - $180/hr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Intern
San Francisco, CA · On-site
Support deployment and testing of models on robotic hardware We're looking for candidates who * Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a ...
Machine Learning Intern
San Francisco, CA · On-site
Support deployment and testing of models on robotic hardware We're looking for candidates who * Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a ...
Machine Learning Engineer(S)
Pittsburgh, PA · On-site
Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. * Analyse and review enhancement requests and ...
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Machine Learning Engineer(S)
Pittsburgh, PA · On-site
Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. * Analyse and review enhancement requests and ...
Machine Learning (ML) Training
Sacramento, CA · On-site
We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Machine Learning (ML) training. . Provide OPT Stem Ext.
Machine Learning (ML) Training
Sacramento, CA · On-site
We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Machine Learning (ML) training. . Provide OPT Stem Ext.
Machine Learning Engineer
San Francisco, CA · On-site
Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain ...
Machine Learning Engineer
San Francisco, CA · On-site
Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain ...
CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...
Quick apply
CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...
Machine Learning Engineer
College Park, MD · On-site
$95K - $195K/yr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Engineer
College Park, MD · On-site
$95K - $195K/yr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Engineer
San Francisco, CA · On-site
Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain ...
Machine Learning Engineer
San Francisco, CA · On-site
Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain ...
Machine Learning Engineer
College Park, MD · On-site +1
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Engineer
College Park, MD · On-site +1
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Continuously push the practice forward, learning and testing newer and better ways of performing work. Qualifications Required experience * 5 years of machine learning engineering, software ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Continuously push the practice forward, learning and testing newer and better ways of performing work. Qualifications Required experience * 5 years of machine learning engineering, software ...
Machine Learning Engineer
Los Angeles, CA · On-site
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Machine Learning Engineer
Los Angeles, CA · On-site
Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...
Machine Learning Engineer
College Park, MD · On-site +1
$95K - $195K/yr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Machine Learning Engineer
College Park, MD · On-site +1
$95K - $195K/yr
The Machine Learning Engineer will perform their job duties to a high standard, working both ... The core responsibility is to assist in the development, implementation, testing, and evaluation of ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Continuously push the practice forward, learning and testing newer and better ways of performing work. Qualifications Required experience * 5 years of machine learning engineering, software ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Continuously push the practice forward, learning and testing newer and better ways of performing work. Qualifications Required experience * 5 years of machine learning engineering, software ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Mahwah, NJ · On-site
As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Establish testing methodologies and performance metrics to validate models across real-world usage ...
Machine Learning Engineer
Mahwah, NJ · On-site
As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Establish testing methodologies and performance metrics to validate models across real-world usage ...
Machine Learning (ML) Training
Sacramento, CA · On-site
We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for ...
Machine Learning (ML) Training
Sacramento, CA · On-site
We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for ...
Machine Learning Engineer
Grovetown, GA · On-site
$70 - $110/hr
Help bring prototype code to production quality: testing, documentation, version control ... Machine learning (PyTorch, scikit‑learn), Data (NumPy, pandas), Scientific computing (SciPy ...
Machine Learning Engineer
Grovetown, GA · On-site
$70 - $110/hr
Help bring prototype code to production quality: testing, documentation, version control ... Machine learning (PyTorch, scikit‑learn), Data (NumPy, pandas), Scientific computing (SciPy ...
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Full-time
Re-posted 23 days ago
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