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Machine Learning Quantum Computing Jobs in Utah (NOW HIRING)

Software Engineer II

Salt Lake City, UT ยท On-site

$89K - $122K/yr

... computing, and storing energy and telemetry data, within the Connect platform. This team will leverage modern IoT, data science and machine learning, cloud, and front end user interface technology to ...

Software Engineer II

Salt Lake City, UT ยท On-site +1

$89K - $122K/yr

... computing, and storing energy and telemetry data, within the Connect platform. This team will leverage modern IoT, data science and machine learning, cloud, and front end user interface technology to ...

Software Engineer II

Salt Lake City, UT

$89K - $122K/yr

... computing, and storing energy and telemetry data, within the Connect platform. This team will leverage modern IoT, data science and machine learning, cloud, and front end user interface technology to ...

Software Engineer II

Salt Lake City, UT ยท On-site

$89K - $122K/yr

... computing, and storing energy and telemetry data, within the Connect platform. This team will leverage modern IoT, data science and machine learning, cloud, and front end user interface technology to ...

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... computing platforms, and microservices architecture. A combination of education and relevant ...

... computing fluid flow parameters, and selecting machine components. Emphasizes systematic ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... computing fluid flow parameters, and selecting machine components. Emphasizes systematic ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Senior Analytics Engineer

Lehi, UT ยท On-site

$98K - $134K/yr

... analytical and machine learning use cases. Track usage metrics and continually optimize for ... computing, and data governance. Lead or contribute to initiatives that improve scalability ...

Statics Tutor

Logan, UT ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Statics Tutor

Provo, UT ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

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Showing results 1-20

Machine Learning Quantum Computing information

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, and why are they important?

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 Utah? For Machine Learning Quantum Computing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Utah look for? The top searched job categories for Machine Learning Quantum Computing jobs in Utah are:
What cities in Utah are hiring for Machine Learning Quantum Computing jobs? Cities in Utah with the most Machine Learning Quantum Computing job openings:
Tech Adjunct (Technology & Business)

Tech Adjunct (Technology & Business)

Neumont College of Computer Science

Salt Lake City, UT โ€ข On-site

Full-time

Posted 8 days ago

Be an early applicant


Job description

As a Neumont instructor you will develop leadership and mentoring skills that will enhance your career. It can be a very rewarding experience as you see students start to understand complex subjects and gain confidence in their abilities. Neumont hires technical experts with real-world application experience to teach our students, giving them the best quality in-industry knowledge.

Neumont University is looking to fill multiple adjunct faculty positions to teach in the following area:

  • Business & Technology

Neumont University is looking for tech individuals with in-industry experience to teach the following technologies:

  • Broad understanding of emerging and disruptive technologies and their business applications
  • Familiarity with cloud computing concepts, with hands-on experience in AWS (core services, security, VPC, pricing, and the AWS Management Console)
  • Knowledge of Internet of Things (IoT) concepts and applications
  • Awareness of AI/machine learning trends and their impact on business
  • Familiarity with Extended Reality (XR) technologies (AR/VR/MR) and 3D printing in a business context
  • Ability to evaluate and compare emerging technology platforms and their strategic business value
  • Strong communication skills for presenting complex technical topics to business-oriented audiences
  • Prior experience in technology consulting, IT strategy, or teaching business technology courses preferred

LOCATION: In-person, on campus

TIME COMMITTMENT:

  • Courses begin June 29, 2026 and are 5 to 10 weeks long, depending on the course.
  • We make classes work around full-time work schedules as we offer AM and PM classes.
  • Adjuncts may spend up to 10 hours a week outside of class doing grading and familiarizing themselves with the curriculum. This time commitment lessens once they get the hang of teaching.

QUALIFICATIONS:

  • Bachelorโ€™s or higher degree in computer science or a related field AND 4 years of CS related experience (or 8 years of CS related experience without a CS degree)
  • Teaching experience preferred, but not required

ADVANTAGES TO BEING A NEUMONT FACULTY MEMBER:

  • Improve the lives of students from across the nation through the power of education.
  • Opportunity to give back through educating the next generation of tech experts.
  • Experience the "light" turn on in your student's eyes as you teach and they experience true understanding.
  • Be a part of a computer science institution that focuses on creating software engineers that can DO, not just theorize.
  • Develop your teaching/mentoring skills.

Faculty at Neumont University are responsible for educating students in accordance with the Neumont teaching methodology, which focuses on active learning and engaging students in the learning environment. Faculty members are also responsible for grading and providing valuable feedback to students in a timely manner, mentoring students in groups or individually, evaluating curriculum, adapting coursework and materials as necessary to meet student learning needs, and other activities related to effective instruction.

RESPONSIBILITIES, INCLUDING BUT NOT LIMITED TO:

  • Implement best practices in teaching and project-based learning
  • Submit all new teaching materials to Neumont vault upon completion of each course
  • Work with supervisor to identify areas for personal development and course improvement
  • Utilize feedback from mid-quarter and end-of-quarter evaluations to improve teaching
  • Identify innovative teaching methods to solve curricular problems
  • Teach material defined in the course description and syllabus
  • Maintain and meet the listed student learning goals
  • Utilize the Neumont LMS to keep an updated syllabus, course materials, and grades
  • Provide a safe learning environment for students
  • Answer and deal respectfully with student complaints and problems
  • Use effective assessments that measure student learning
  • Provide timely and accurate feedback to studentsโ€™ assignments, exams, projects, etc.

FAQ

Iโ€™ve never taught before, am I qualified to teach?

We hire industry professionals and help them learn how to be good teachers. Our project-based curriculum means fewer lectures and more hands-on practice. Instructors must have at least 4 years of industry experience and a bachelorโ€™s degree in a tech related field. An additional 4 years of outstanding experience and contributions to the field may be substituted for a formal degree.

Do I have to develop the curriculum?

You will use curriculum that has been developed and refined by previous Neumont instructors. We expect that you will share your individual perspective and experiences with the students to supplement the formal curriculum.

Does Neumont offer online courses?

No. Our classes are in-person as it makes for a better teaching/learning experience.

What is the process to get started?

All instructors will go through a formal application process which includes a short teaching demonstration. We will verify your work experience and educational credentials.

NU is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Neumontโ€™s Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the schoolโ€™s policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.