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Physics Informed Machine Learning Jobs in Florence, AZ

Meta

Critical Operations Manager

Mesa, AZ

$143K/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 ...

Meta

Network Engineer, Deployment & Support

Mesa, AZ

$135K/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 ...

Meta

Critical Facility Engineer

Mesa, AZ

$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 ...

Atlas Copco

Quality Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Responsible, supports and could be consulted or informed on Quality Assurance, test, failure ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

Atlas Copco

Quality Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Responsible, supports and could be consulted or informed on Quality Assurance, test, failure ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

Atlas Copco Group

Quality Engineer

Chandler, AZ · On-site

$73K - $95K/yr

Responsible, supports and could be consulted or informed on Quality Assurance, test, failure ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

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Physics Informed Machine Learning information

See Florence, AZ salary details

$4

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How much do physics informed machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for physics informed machine learning in Florence, AZ is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $23.85 per hour, depending on experience, location, and employer.

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 cities near Florence, AZ are hiring for Physics Informed Machine Learning jobs? Cities near Florence, AZ with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Medical Physicist

Arizona Cancer Care Center

Gilbert, AZ • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary
The medical physicist conducts all aspects of radiation therapy physics, including clinical medical physics support, equipment calibration and commissioning, maintenance of appropriate quality assurance programs for equipment and treatment delivery, compliance with radiation safety, licensing issues and other pertinent regulatory requirements.
Duties and responsibilities
  • Maintain operating knowledge of the planning system, ARIA/Eclipse.
  • Ability to demonstrate importing correct CT images, properly merge CT/MRI/PET, and identify the anatomical structures on CT/MRI/PET images.
  • Maintain knowledge of tissue constraints.
  • Demonstrate knowledge of planning including but not limited to:
  • Appropriateness of beam energies and angles
  • MLC and wedges
  • Normalization
  • Maintain knowledge of the correct document procedures, planning approval, and set-up notes.
  • Must be proficient with patient chart checks, hand calculations and reviewing a chart for all pertinent planning information.
  • Available to advise therapists to facilitate appropriate patient positioning and setup for planning.
  • Must be proficient in all aspects of ARIA electronic medical record/patient management.
  • Maintain an atmosphere of caring, concern and support for patients, visitors, medical staff, and co-workers on a consistent basis.
  • Evaluate and develop radiation instruments and procedures.
  • Optimize the physical and technical aspects of radiation treatments.
  • Assure the accurate measurement and delivery of radiation doses.
  • Implement and monitor quality control and safety protocols in the use of radiation.
  • Collaborate with radiation oncologists, in the planning and implementation of patient treatment plans.
  • Ensure radiation protection for patients, staff and the community.
  • Conduct research to enhance current treatment methods and develop new technologies.
  • Provide education and training on radiation safety and medical physics to healthcare staff.
  • Maintain a professional understanding of advancements in medical physics and radiation therapy.
  • Conduct regular equipment calibrations and maintenance.
  • Perform quality assurance tests on radiology equipment.
  • Work shifts as assigned.
  • Perform all duties as assigned by chief physicist and radiation oncologist.
  • Must be willing to travel between clinics if necessary.
  • Maintain compliance with the Department of Health radiation rules and regulations.

Working conditions/Physical requirements
Medical office setting
Moderate noise levels from medical setting and equipment
Controlling machines and processes - Using either control mechanisms or direct physical activity to operate machines or processes
Inspecting equipment, structures, or materials to identify the cause of errors or other problems or defects
Ability to see details at close range
Ability to listen and understand information through spoken words and sentences
Ability to read and understand information in writing
Ability to communicate information in speaking so others will understand
Sitting for long periods of time
Minimum lifting requirements of 25 pounds in order to transfer equipment.
Frequent bending and twisting
EEO Statement
Arizona Center for Cancer Care 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.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Qualifications and Educational Requirement
  • MS or Ph.D. in medical physics and training in clinical medical physics.
  • Experience working in a clinical environment, specifically radiotherapy departments.
  • Strong understanding of the principles and practices of radiation physics.
  • Knowledge of radiation safety regulations and procedures.
  • Ability to work collaboratively with a multidisciplinary team.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Maintain documented proof of authorized medical physicist (AMP) for after loader, or complete form NRC 313A AMP for HDR after loader.
  • Meets all continuing education standards as they apply to registry eligibility.
  • Computer experience required.
  • Experience in Varian Truebeam, Halcyon, ARIA R&V, Eclipse and Elekta Oncentra planning preferred.
  • Excellent work ethic, including integrity, positive attitude, productive, organized, treats leadership with respect, excellent attendance, continuously learning and willing to ask for help.
  • Ability to work efficiently and effectively in a detail oriented, fast-paced setting.

Licensure/Certification
Board certified or eligible for certification by the American Board of Radiology.
Valid driver's license

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