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Physics Informed Machine Learning Jobs in Utah (NOW HIRING)

Meta

Critical Facility Engineer

Eagle Mountain, UT

$88K/yr

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K/yr

  • Retirement

... Medical Physics, or a related field Evidence of research productivity, including peer-reviewed ... registration, machine learning, or computational neuroscience methods Interest in aging ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K/yr

  • Retirement

... Physics, or a related field • Evidence of research productivity, including peer-reviewed ... registration, machine learning, or computational neuroscience methods • Interest in aging ...

Meta

Critical Facility Engineer

Eagle Mountain, UT

$104K/yr

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Bamboo Insurance

Actuarial Associate

Midvale, UT

$130K/yr

... informed and deliverables on track. Required Skills/Abilities: · Strong business acumen with the ... machine learning · Excellent communication skills to convey complex actuarial concepts to non ...

Pwc

GenAI Python Systems Engineer-Manager

Salt Lake City, UT

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

ARUP

Reagent Lab Technologist Trainee

Salt Lake City, UT · On-site

$21.94/hr

Remains informed of all procedures and procedure changes. These functions may also apply to STM/QA ... Chemistry: * 23 semester credit hours of science courses * 3 semester credit hours of physics, math ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Utah?

For Physics Informed Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Utah look for?

The top searched job categories for Physics Informed Machine Learning jobs in Utah are:

What cities in Utah are hiring for Physics Informed Machine Learning jobs?

Cities in Utah with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Utah as of August 2026, with employment types broken down into 6% Internship, 37% Full Time, 51% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Critical Facility Engineer

Meta

Eagle Mountain, UT

$88K/yr

Full-time

Re-posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers.
Critical Facility Engineer Responsibilities:
  • Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business
  • Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
  • Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training
  • Provides technical expertise and assistance as required
  • Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies
  • Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults
  • Troubleshoot, evaluate and recommend system upgrades
  • Order parts and supplies for maintenance and repairs
  • Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards
  • Escalate issues to facility management appropriately and timely
  • Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service
  • Provide recommendation of improvements to the operations and maintenance program on an on-going basis
  • Required to work on a shift schedule, which may include nights and holidays
  • Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources

Minimum Qualifications:
  • 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience
  • Use hands and fingers
  • Reach/push/pull with arms/hands/shoulders
  • Stoop, kneel, crouch and crawl
  • Lift and/or otherwise move 45 pounds or more
  • Sit or stand at a workstation for extended periods of time
  • The candidate will need to be experienced in a broad range of industries such as electrical generation, electrical distribution, cooling technologies, building control and fire protection systems

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88,005/year to $124,010/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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