They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in ... learning, and machine learning. * Independently execute in the face of ambiguity * Leads ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in ... learning, and machine learning. * Independently execute in the face of ambiguity * Leads ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · On-site
$90K - $135K/yr
This role sits at the intersection of machine learning, cloud infrastructure, and regulated ... Experience supporting data-intensive or research computing environments * Strong understanding of ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · On-site
$90K - $135K/yr
This role sits at the intersection of machine learning, cloud infrastructure, and regulated ... Experience supporting data-intensive or research computing environments * Strong understanding of ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · Hybrid
$90K - $135K/yr
This role sits at the intersection of machine learning, cloud infrastructure, and regulated ... Experience supporting data-intensive or research computing environments * Strong understanding of ...
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Salt Lake City, UT · Hybrid
$90K - $135K/yr
This role sits at the intersection of machine learning, cloud infrastructure, and regulated ... Experience supporting data-intensive or research computing environments * Strong understanding of ...
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 ...
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 ...
Linear Algebra Tutor
Spanish Fork, 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 ...
Linear Algebra Tutor
Spanish Fork, 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 ...
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 ...
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 ...
Linear Algebra Tutor
Cedar City, 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 ...
Linear Algebra Tutor
Cedar City, 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 ...
Senior Climate Analytics Specialist
$84K - $103K/yr
Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.
Senior Climate Analytics Specialist
$84K - $103K/yr
Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.
Senior Climate Analytics Specialist
Salt Lake City, UT · On-site
$84K - $103K/yr
Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.
Senior Climate Analytics Specialist
Salt Lake City, UT · On-site
$84K - $103K/yr
Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.
Research Specialists
$14.38 - $27.87/hr
Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...
Research Specialists
$14.38 - $27.87/hr
Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...
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 ...
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
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
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
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
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
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 ...
Quick apply
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
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
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 ...
Quick apply
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 ...
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 ...
Quick apply
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 ...
Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Experience developing machine-learning solutions for detection, segmentation, classification, depth ...
Machine Learning Quantum Computing information
What is the difference between Machine Learning Quantum Computing vs Data Scientist?
| Aspect | Machine Learning Quantum Computing | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in quantum computing, machine learning, or related fields | Degree in data science, statistics, or computer science |
| Work Environment | Research labs, tech companies focusing on quantum tech, academia | Business environments, tech companies, consulting firms |
| Industry Usage | Emerging quantum tech industry, research institutions | Finance, healthcare, marketing, e-commerce |
| Common Search/Comparison | Quantum algorithms, quantum machine learning | Data 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:
Full-time
Re-posted 25 days ago
Job description
Job Summary:
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.