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Physics Informed Machine Learning Jobs in Suffolk, VA

Williammary

Research Scientist

Gloucester Point, VA

$65K/yr

... informed decision-making on resource management issues at all levels of government, including ... Experience integrating AI or machine learning approaches into environmental modeling * Experience ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

They must possess knowledge of Python, and machine learning frameworks. Responsibilities Develop ... Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

They must possess knowledge of Python, and machine learning frameworks. Responsibilities Develop ... Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or ...

Booz Allen Hamilton

Data Scientist, Senior

Langley, VA

$99K - $225K/yr

... machine learning or other approaches. You'll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed ...

New

Booz Allen Hamilton

Senior Data Scientist

Hampton, VA

$99K - $225K/yr

... machine learning or other approaches. You'll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed ...

New

Jefferson Lab

EPSCI DAQ Scientist I

Newport News, VA · On-site

Work with domain experts in Physics, Data Science, and Computer Science to develop highly efficient ... Knowledge of relevant technologies or techniques such as data visualization, machine learning and ...

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

As of May 29, 2026, the average hourly pay for physics informed machine learning in Suffolk, VA is $19.09, according to ZipRecruiter salary data. Most workers in this role earn between $11.88 and $24.23 per hour, depending on experience, location, and employer.

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 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.
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What job categories do people searching Physics Informed Machine Learning jobs in Suffolk, VA look for? The top searched job categories for Physics Informed Machine Learning jobs in Suffolk, VA are:
What cities near Suffolk, VA are hiring for Physics Informed Machine Learning jobs? Cities near Suffolk, VA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Physics (updated 4/13)

Physics (updated 4/13)

Hampton City Schools

Hampton, VA • On-site

Full-time

Posted 9 days ago

Hampton City Schools rating

7.1

Company rating: 7.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

208th of 540 rated elementary and secondary schools

Job description

Position Type:
Teacher - Middle/High/Science - Physics
Date Posted:
1/20/2026
Location:
Secondary Schools
Closing Date:
Open until filled
Locations:
To be determined
Supervisor:
Building Principal
Employment Period:
10 months
Employment Status:
Full-time
Start Date:
August 2026
Salary:
Teacher scale -- commensurate with experience
DUTIES AND RESPONSIBILITIES:
  • Plans and implements an instructional program that provides appropriate learning experiences.
  • Collaborates within a professional learning community in order to nurture and sustain a school culture and instructional program conducive to accelerated student achievement.
  • Manages the behavior of learners in an instructional setting to ensure environment is conducive to the learning process. Assists and participates in management of student behavior in other parts of the school, center, school grounds or work site.
  • Coordinates instructional activities with other professional staff, both school and non-school based, as required, to maximize learning opportunities.
  • Participates in staff development activities and staff meetings, curriculum development activities as required or assigned.
  • Assesses student achievement and maintains appropriate documentation for institutional and individual reporting purposes.
  • Ensures continuous communication with parents, both written and oral, to keep them informed of their child's progress.
  • Communicates with students, parents, and professionals and support personnel in and outside the school to share information and to support/encourage involvement. Ensures that classroom and/or instructional environment is attractive, healthful, safe and conducive to learning.
  • Performs related duties as required or assigned.

JOB REQUIREMENTS:
  • Must possess or be eligible for a Collegiate Professional, Postgraduate Professional, or Provisional license issued by the Commonwealth of Virginia with an endorsement to teach at the assigned grade level. First consideration will be given to those who have completed an approved teacher preparation program.
  • Excellent organizational, planning, communication and human relations skills.
  • Good knowledge of content, curriculum, methods, materials and equipment appropriate for secondary level instruction.
  • Ability to plan and implement lessons based on division and school objectives and the needs and abilities of middle school students.
  • Ability to establish and maintain effective working relationships with students, peers and parents.

APPLICATION REQUIREMENTS:
You may apply any time before midnight on the closing date. Please provide the following:
  • Resume
  • Teaching License. If no teaching license, please upload unofficial transcripts and Praxis scores, if available.
  • Most recent performance evaluation. Please upload student teaching evaluation if new to the profession.

Hampton City Schools does not discriminate in employment against any person on the basis of race, color, religion, national origin, sex, gender, age, disability or other protected class. Personnel decisions are based on merit and the ability to perform the essential functions of the job, with or without reasonable accommodation. The following person has been designated to handle inquiries regarding the non-discrimination policies:
Executive Director of Human Resources, One Franklin Street, Hampton, VA 23669; (757) 727-2300
Appropriate accommodations for individuals with disabilities are available upon request.

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