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Quantum Machine Learning Engineer Jobs in Kennedale, TX

Machine Learning Tutor

Dallas, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Grand Prairie, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Fort Worth, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Arlington, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Irving, TX ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior ML Ops Engineer

Irving, TX ยท On-site

$140 - $200/hr

Deploy and support machine learning models and AI solutions in production, maintaining best ... Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and ...

Senior ML Ops Engineer

Irving, TX ยท On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Senior ML Ops Engineer

Irving, TX ยท Remote

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and ...

Showing results 21-40

Quantum Machine Learning Engineer information

See Kennedale, TX salary details

$28.4K

$116.2K

$174.6K

How much do quantum machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantum machine learning engineer in Kennedale, TX is $116,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

What cities near Kennedale, TX are hiring for Quantum Machine Learning Engineer jobs?

Cities near Kennedale, TX with the most Quantum Machine Learning Engineer job openings:

Senior Machine Learning Research Scientist, Secure AI Lab

AIToolboard

Arlington, TX โ€ข On-site

$140 - $190/hr

Other

Posted 11 days ago


Job description

Jobs / Senior Machine Learning Research Scientist, Secure AI Lab

Senior Machine Learning Research Scientist, Secure AI Lab

Full-time

About the Role

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, weโ€ข build real-world, mission-scale AI capabilities through solving practical engineering problemsโ€ข discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilitiesโ€ข prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilitiesโ€ข identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.TheSecure AILab within the SEIโ€™s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisnโ€™tsupposed to.TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

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