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Machine Learning Quantum Computing Jobs in Phoenix, AZ

Senior Industrial Engineer-Automation

Tempe, AZ ยท On-site

$41 - $56/hr

Manufacturing About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi ...

Director of Manufacturing Operations About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to ...

Senior Engineer, Chips About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today.

Director of Manufacturing Operations About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to ...

Experience developing, deploying, and maintaining machine learning models in production environments. * Strong understanding of cloud computing platforms and modern data science tools and ...

Proficiency in big data, the use of frameworks related to stream computing, such as Spark, Flink, etc. And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... understanding of computing fundamentals, including code efficiency. - Proficient in Python ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... understanding of computing fundamentals, including code efficiency. - Proficient in Python ...

Linear Algebra Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Linear Algebra Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Linear Algebra Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

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Assembly Design Engineer

Mesa, AZ ยท On-site

$75K - $102K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Detailed understanding of modern machining operations and cutting tool technology * Proficient with ... industrial, quantum computing, radars, railway, space, test and measurement, wireless ...

Linear Algebra Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Showing results 21-40

Machine Learning Quantum Computing information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

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

As of Aug 15, 2026, the average yearly pay for machine learning quantum computing in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

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

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What are popular job titles related to Machine Learning Quantum Computing jobs in Phoenix, AZ?

For Machine Learning Quantum Computing jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Phoenix, AZ look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Phoenix, AZ are:

Continuous Improvement and Controls Engineering Lead

QCi

Tempe, AZ โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Continuous Improvement and Controls Engineering Lead
Location: Tempe, AZ
Department: Operations
Reports to: Director of Manufacturing Operations
About Us
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description
This position is responsible for overseeing the continuous improvement programs of a 150 mm wafer line based on QCi's thin film lithium niobate (TELN) technology. The Continuous Improvement team will lead initiatives to enhance operational efficiency and drive a culture of continuous improvement across the organization. The role involves identifying areas for improvement, implementing process enhancements, and utilizing methodologies such as "Zero Unplanned Maintenance", "Statistical Factory Controls", "Lean and Six Sigma", "5S", "Best Practice Sharing Programs", and "Cost Improvement Initiatives".
Duties and Responsibilities
  • Bachelor's degree in engineering, or a related field experience.
  • Proven experience in a continuous improvement role, preferably in a manufacturing or operational environment.
  • Strong knowledge of Lean, Six Sigma, and other CI methodologies; Green Belt certification.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills to engage with various stakeholders.
  • Capture, document, and report on Lessons Learned and quality risk mitigations.

Required Skills and Experience
  • 5+ years of experience in continuous improvement and Factory Control management,
  • Strong knowledge of ISO Class cleanroom requirements and control monitoring systems.
  • Direct experience with cleanroom documentation protocols, and technical writing.
  • Effective communicator and leader with experience working on high-stakes, multi-stakeholder projects.
  • Strong technical writing and documentation review skills, and best practice sharing techniques.
  • Demonstrated experience in leadership, maintaining standards, and driving a culture balancing innovation and standardization.

Preferred Qualifications
  • Proficiency with Microsoft Office (Excel, Word, Access a plus) and project QA/QC tracking tools.
  • Experience working with 5S, 6 Sigma, SPC programs, and GR&R studies (gauge reliability and repeatability)
  • Experience with semiconductor metrology and failure analysis equipment.
  • Basic understanding of the photonics integrated circuits field and their measurement techniques

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above.
Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.