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Physics Informed Machine Learning Jobs in Phoenix, AZ

EE/CS Patent Agent

Phoenix, AZ · On-site

$140K - $240K/yr

... physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Predictive analytics and statistical applications including modeling, machine learning, data ... B.S. or higher in Mathematics, Statistical, Electrical Engineering, Materials Science, Physics ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Predictive analytics and statistical applications including modeling, machine learning, data ... B.S. or higher in Mathematics, Statistical, Electrical Engineering, Materials Science, Physics ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Showing results 21-40

Physics Informed Machine Learning information

See Phoenix, AZ salary details

$5

$19

$25

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

As of Sep 5, 2026, the average hourly pay for physics informed machine learning in Phoenix, AZ is $19.92, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $25.29 per hour, depending on experience, location, and employer.

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 cities near Phoenix, AZ are hiring for Physics Informed Machine Learning jobs?

Cities near Phoenix, AZ with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,435 per year, or $19.9 per hour.

Full-time

Re-posted 2 days ago


Key responsibilities

  • Conduct all aspects of radiation therapy physics, including equipment calibration, commissioning, and quality assurance.

  • Collaborate with radiation oncologists and advise therapists on patient positioning and setup for planning and treatment.

  • Maintain and ensure compliance with radiation safety, regulatory requirements, and quality control protocols.


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