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Physics Informed Machine Learning Jobs in Suffolk, VA

Huntington Ingalls Industries

ENGINEER ELECTRICAL 4

Newport News, VA · On-site

$124K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... generate physics-based models of electrical circuits and control systems * Ability to train and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Huntington Ingalls Industries

APPRENTICE

Newport News, VA · On-site

$50K - $74K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Algebra, Algebra 2, Geometry, Advanced Mathematics, Chemistry, Physics, Mechanical Drawing ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Huntington Ingalls Industries

ENGINEER ELECTRICAL 3

Newport News, VA · On-site

$99K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... physics-based models of electrical circuits and control systems • Excellent verbal and written ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Socket.dev

Chief of Staff

Newport News, VA · On-site

$120 - $166/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Machine Learning and Software Engineering - enabling data and tech-enabled solutions that deliver ... support informed decision-making and organizational transparency * Assess enterprise resource ...

New

ITA International

Chief of Staff

Newport News, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Machine Learning and Software Engineering - enabling data and tech-enabled solutions that deliver ... support informed decision-making and organizational transparency * Assess enterprise resource ...

ITA International

Chief of Staff

Newport News, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Machine Learning and Software Engineering - enabling data and tech-enabled solutions that deliver ... support informed decision-making and organizational transparency * Assess enterprise resource ...

Socket.dev

Cybersecurity Architect

Norfolk, VA · On-site

$86.80 - $198/hr

  • Medical

  • Life

  • Retirement

  • PTO

... AI), and machine learning (ML) capabilities. You'll coordinate work with in-house teams ... You'll be able to broaden your skillset into areas like Zero Trust Architecture, AI and ML informed ...

New

Booz Allen Hamilton

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ...

Booz Allen Hamilton

Data Scientist

Langley, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ...

Buckets OTB

Wagering Coordinator

Chesapeake, VA · On-site

$16/hr

We're always learning, evolving, and growing. We innovate through mutual respect of ideas and ... Keeps position supervisor informed of relevant activities. * Performs other related duties as ...

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Physics Informed Machine Learning information

See Suffolk, VA salary details

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

As of Aug 20, 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?

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 Suffolk, VA?

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

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
Infographic showing various Physics Informed Machine Learning job openings in Suffolk, VA as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,699 per year, or $19.1 per hour.

Medical Physics Internship

Hampton University Proton Cancer Institute

Hampton, VA • On-site

Internship

Re-posted 17 days ago

Job description

Hampton Proton is the nation's 8th proton therapy facility and one of the largest free-standing proton clinics in the world. The state-of-the-art treatment and research center has four gantry rooms and one fixed beam room. Hampton Proton has been treating a variety of cancers since August 2010.
Hampton University Proton Cancer Institute (Hampton Proton) began with a vision. After the instillation of the first proton cancer treatment institute in 1990, rumblings of the therapy's success reached Hampton University president, Dr. William R. Harvey. Upon learning more about the treatment from a Hampton University alumnus, he assembled a team to assess the feasibility of what would become the largest free-standing proton therapy facility in the world.
Hampton Proton provides one of the best healthcare opportunities anywhere in our great nation, and you are a vital member of this important team. How well we accomplish our goals of conquering cancer and saving lives largely depends on your daily contributions, as Hampton Proton's true character is reflected through the manner in which all of our patients are treated. Only your best efforts enable us to continue to achieve excellence in everything we do.
To be considered for Hampton Proton's Internship Program, the following information will be required:
• Proof of being currently enrolled in a program of study or a recent graduate (within 12 months) from an accredited college/university or technical/vocational institution.
• Proof of good academic standing (unofficial transcripts are acceptable).
• Proof of academic class schedule.
• Recent resume and/or cover letter.
• Applicable course syllabus if academic credit will be applied from your educational institution.
Medical Physics Internship
  • Patient specific parts QA
  • Machine QA
    • Daily
    • Monthly
    • Annual. All based on the AAPM Task Group 224 Report
  • Patient Specific QA
  • And other clinical activities.

!!! During your application process, please use the section titled "Additional Documents" to upload your unofficial transcript, the internship course syllabus, and concise student schedule. !!!
At the completion of an Internship Program, each Student Intern will be required to create a Microsoft PowerPoint presentation that will be performed in a session with other Student Interns where the mentors/supervisors will attend. Topics of discussion should be focused on the following:
• What college/university you attend and your major.
• What plans do you have after graduating.
• What was learned during the internship.
• What tasks or projects were completed in your department.
• What skills and abilities were developed.
• What professional strengths and weaknesses were discovered during the internship.
• What part of the internship was enjoyed the most.
• What may need to be improved or included for future interns.
At the conclusion of the Internship Program, each Student Intern will receive an evaluation form completed by their mentor/supervisor. A copy is provided to the Student Intern, Educational Institution, and the Human Resources Department.
Hampton Proton is an equal opportunity employer. Applicants receive consideration without regard to race, color, sex, sexual orientation, gender identity, age, ethnicity, religion, national origin, disability, veteran status or any other bias prohibited by law.
Learn more about Equal Opportunity and Pay Transparency Nondiscrimination
In compliance with the ADA Amendments Act (ADAAA), should you have a disability and would like to request an accommodation in order to apply for a current job opportunity with Hampton Proton, please contact the Human Resources Department at HR@HamptonProton.org with "Disability Assistance" in the subject line. Other recruiting and/or general inquiries of any kind may not be answered.

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