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Physics Informed Machine Learning Jobs in Utah (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You accurately assess marketplace and regulatory risk, enabling confident and data-informed ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Strong ability to analyze data and metrics, using insights to drive strategy and make informed ...

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Physics Informed Machine Learning information

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 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 is a Physics Informed Machine Learning job?

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 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 cities in Utah are hiring for Physics Informed Machine Learning jobs? Cities in Utah with the most Physics Informed Machine Learning job openings:
Operations & Maintenance Lead

Operations & Maintenance Lead

Meta

Provo, UT

$114K/yr

Full-time

Posted 16 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

Meta is seeking an Operations & Maintenance Lead to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our suite of products operates to meet the demands of our customers. The Operations & Maintenance Lead will work with the larger Infrastructure Data Centers team to facilitate operating and maintaining the data center through maintenance planning, asset management, document control and standard compliance management.
Operations & Maintenance Lead Responsibilities:
  • Manage assets through full life cycle and maintain associated master data
  • Use the global maintenance library requirements to develop campus-wide maintenance plans in the Enterprise Asset Management System (Hexagon EAM)
  • Serve as the local Administrator role for the EAM tool and serve as the primary point of contact for the centralized tooling support team
  • Facilitate and help manage compliance to operational standards
  • Coordinate the development, review and approval of all operating procedures
  • Manage corrective actions for a variety of processes at the campus level by ensuring timely tasking and closeout
  • Collaborate with operational and technical teams to plan and schedule preventative and corrective work throughout the campus
  • Monitor maintenance schedules and related work management metrics for adherence to compliance windows
  • Collaborate with centralized teams to manage spare parts
  • Provide training for and maintain data health in Hexagon EAM tool
  • Support audits conducted by outside regulatory agencies (Sarbanes-Oxley(SOX), International Organization for Standardization (ISO), etc.)
  • Work with construction partners to ensure asset tagging and equipment attribute collection is accurate and aligns with written requirements
  • Analyze performance metrics and maintenance/operations data to identify trends, and implement continuous improvement strategies
  • Lead maintenance and operations optimization initiatives to support equipment reliability, operational efficiency, and overall site performance

Minimum Qualifications:
  • 7+ years of experience in an industry that includes operations & maintenance
  • Associates degree in related field plus 5+ years of experience or Bachelor’s degree in related field plus 3+ years of experience will be considered in lieu of 7+ years experience
  • Proficient using word processors, spreadsheets, and presentation software
  • Familiarity with Standard Operating Procedures (SOPs), Method of Procedures (MOPs), and their application to work orders
  • Experience working with enterprise asset management and maintenance management software
  • Demonstrated partnership and communication skills
  • Working knowledge of mechanical, electrical and life safety monitoring and control systems
  • Experience in collaborating and influencing teams to execute coordinated plans and activities

Preferred Qualifications:
  • 10+ years of experience
  • 3+ years of experience in a critical operations environment
  • 4+ years’ of experience scheduling and planning maintenance for large-scale, complex systems in an operations environment
  • Experience using Hexagon Enterprise Asset Management (EAM) system
  • Bachelor’s or Associates degree in a related field

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.
$114,000/year to $168,000/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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