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Machine Learning Quantum Computing Jobs in Utah (NOW HIRING)

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Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow * Experience working with ...

Linear Algebra Tutor

Provo, UT · 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 ...

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

... 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

Logan, UT · 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 ...

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

... secure computing environments. This position offers meaningful opportunities to engage in ... Preferences Preferred • Experience using or modifying machine learning models such as decision ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...

Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...

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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:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

University of Utah Health

Salt Lake City, UT • On-site

$101K - $138K/yr

Full-time

Medical, Dental

Re-posted 8 days ago


University Of Utah Health rating

7.7

Company rating: 7.7 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

158th of 881 rated healthcare providers


Job description

Overview
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
Senior Machine Learning Engineers leverage their engineering expertise to solve a variety of technical problems for some of the most challenging and impactful projects in healthcare informatics and machine learning. You will work on a specific project critical to our needs with the opportunity to switch teams and projects as you and our fast-paced business grow. We need machine learning engineers who are versatile, rigorous, display leadership qualities and are enthusiastic to take on new problems. You will design, develop, test, deploy, maintain and enhance machine learning and AI solutions.You will be part of the Innovation Office, a product factory inside the health system of the University of Utah.
Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
Responsibilities
Essential Functions
  • Creating, managing, maintaining, and refactoring ML codebases, pipelines, and workflows for the innovation office.
  • Collaborating closely with research, medical, and engineering staff to design and implement ML approaches.
  • Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and technical staff.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices and modeling decision.
  • Assisting in preparation of manuscripts and dissemination of results in the appropriate venues.
  • Conducing tasks independently and communicate optimally to team members and stakeholders.
  • Developing deployable solutions for the health care system.
Knowledge / Skills / Abilities
  • Hands-on coding in C++, Python, PyTorch, or Tensorflow.
  • Foundational understanding of supervised and unsupervised learning, reinforcement learning, and machine learning.
  • Independently execute in the face of ambiguity
  • Leads identifications of dependencies and the development of design documents for a product, application, service, or platform.
  • Write efficient systems code and tests and able to debug distributed systems.
  • Work on-call to monitor systems/product/service for degradation, downtime or interruptions.
  • Innovative mindset with a keen eye for identifying opportunities for improvement.
  • Ability to thrive in a fast-paced, dynamic environment and simultaneously handle multiple projects.
  • Partner effectively with other engineers, product managers, and stakeholders.

Qualifications
Required
  • Bachelor's degree in a relevant field.
  • 5 years of experience in software engineering.

Qualifications (Preferred)
Preferred
  • Experience working in complex academic medical center environments.
  • Experience with large multimodal health datasets.
  • Experience with lifecycle management in a fast-paced software environment.
  • Experience in shipping products and scalable, reliable services.
  • Hands on experience with asynchronous programming and concurrency (threads, tasks, futures, async/await).
  • Experience with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and/or Google Kubernetes Engine (GKE) '
  • Experience in building database engines, query engines, indexing solutions (columnar, full-text, vector), at scale.
  • Experience with programming CUDA, AI systems at scale.
  • Experience with live site operations, Site Reliability Engineering (SRE) or production support roles.
  • Experience in networking, distributed systems, lower-level infrastructure.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
  • Experience with AI agents.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
  • This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.

Physical Requirements
Listening, Sitting, Speaking, Standing, Walking

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