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Physics Based Machine Learning Jobs in Smithfield, VA

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Norfolk, VA ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

... using physics-based and AI-driven modeling approaches. The incumbent will contribute to the ... Experience applying machine learning approaches to ocean or coastal modeling. Experience: * Hands ...

Develop and extend next-generation AI and machine learning models for coastal flooding and estuarine processes * Integrate AI methodologies with physics-based numerical models * Explore hybrid ...

IB Physics Tutor

Norfolk, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... based explanations. Emphasizes connecting physics to real-world applications and develops skills ...

IB Physics Tutor

Virginia Beach, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... based explanations. Emphasizes connecting physics to real-world applications and develops skills ...

College Physics Tutor

Virginia Beach, VA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Familiar with introductory college physics curricula for both algebra-based and calculus-based ...

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Physics Based Machine Learning information

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

As of Aug 22, 2026, the average hourly pay for physics based machine learning in Smithfield, VA is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $11.63 and $23.70 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What cities near Smithfield, VA are hiring for Physics Based Machine Learning jobs?

Cities near Smithfield, VA with the most Physics Based Machine Learning job openings:

Infographic showing various Physics Based Machine Learning job openings in Smithfield, VA as of August 2026, with employment types broken down into 77% Full Time, 11% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $38,809 per year, or $18.7 per hour.

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates, Inc.

Hampton, VA โ€ข On-site

$81.28 - $95.05/hr

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Responsibilities
  • Technical Advisory: Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.
  • Machine Learning Integration: Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, dataโ€‘driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.
  • Design & Architecture Review: Evaluate and provide feedback on the architecture of highโ€‘performance physical models and numerical methods.
  • Strategic Roadmapping: Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.
  • Mentorship & Collaboration: Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.
Qualifications
  • Required Qualifications
    • Education: Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.
    • Experience: Minimum of 5 years of active, postโ€‘Ph.D.-level professional experience focused on computational aerothermodynamics, M&S, and ML.
    • Domain Expertise: Deep foundational knowledge of hypersonic and supersonic flows, highโ€‘temperature gas dynamics, and advanced CFD.
    • Machine Learning Proficiency: Proven track record of applying ML, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.
    • Communication: Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.
  • Preferred Qualifications
    • Familiarity with modern, highโ€‘performance software architecture, particularly robust C++ libraries for CFD codes.
    • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (OpenMP, CUDA, Kokkos).
    • Deep knowledge of physics of highโ€‘enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.
    • History of peerโ€‘reviewed publications in relevant aerospace, physics, or computational science journals.
  • U.S. Citizenship or Permanent Residence required.
Job Details

Partโ€‘time advisory consultant; 20 hours per month; hourly rate \$59โ€“\$69, commensurate with experience and education.

Company Overview

Analytical Mechanics Associates (AMA) is a small business headquartered in Hampton, VA, with operations in Greenbelt, MD; Huntsville, AL; Dallas & Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. AMA has over 60 years of experience specializing in aerospace engineering, science, analytics, information technology, and visualization solutions.

Benefits

Competitive salaries and benefits including paid personal and federally recognized holiday leave, salary deferral 401(k) matching, tuition reimbursement, short/longโ€‘term disability plans, and medical, dental, and vision insurance.

Equal Opportunity Employer

AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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