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Quantum Machine Learning Engineer Jobs in Texas (NOW HIRING)

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity The Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all lines of ...

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that ...

We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Showing results 41-60

Quantum Machine Learning Engineer information

See Texas salary details

$29.3K

$120K

$180.3K

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

As of Aug 16, 2026, the average yearly pay for quantum machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 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 are popular job titles related to Quantum Machine Learning Engineer jobs in Texas?

For Quantum Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Quantum Machine Learning Engineer jobs?

Cities in Texas with the most Quantum Machine Learning Engineer job openings:

Infographic showing various Quantum Machine Learning Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

Machine Learning Engineer

Robotics Technologies LLC

Dallas, TX • On-site

$100 - $130/hr

Other

Posted 11 days ago


Job description

Experience and Responsibilities
  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).
  • Hands‑on experience in developing NLP and GenAI Models on Vertex AI
  • Proficiency in training, fine‑tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.
Required Qualifications
  • 5-7 years in software development (4+ in NLP/NLU for chat).
  • Good to have an understanding on other GCP services and cloud-native architectures
Preferred Qualifications
  • Master’s/PhD in Computer Science, AI/ML, or related field
  • Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer
  • Experience with GenAI frameworks (PaLM, Gemini)
  • Integration with CRM, knowledge bases, and live agent systems
Soft Skills
  • Excellent communication and collaboration.
  • Strong ownership and end‑to‑end project delivery.
  • Leadership in cross‑functional environments.

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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