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Physics Based Machine Learning Jobs in Durham, NC

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · 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 ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · 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 ...

Varsity Tutors

Machine Learning Tutor

Durham, NC · 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 ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job Summary: We are seeking a Senior Machine Learning Engineer to help lead the design and ... based AI platforms. • Establish MLOps best practices for model deployment, monitoring ...

Compunnel

Machine Learning Engineer Lead

Raleigh, NC · On-site

$99K - $131K/yr

Key Responsibilities • Define reference architectures for LLM, machine learning, and agent-based systems across products. • Design high-availability and low-latency inference platforms capable of ...

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

RELX

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML ...

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

As of Aug 23, 2026, the average hourly pay for physics based machine learning in Durham, NC is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $12.07 and $24.62 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 job categories do people searching Physics Based Machine Learning jobs in Durham, NC look for?

The top searched job categories for Physics Based Machine Learning jobs in Durham, NC are:

What cities near Durham, NC are hiring for Physics Based Machine Learning jobs?

Cities near Durham, NC with the most Physics Based Machine Learning job openings:

Physics Based Machine Learning jobs near you

Physics-Based Modeling Researcher, Biomedical

Kitware

Carrboro, NC

$110K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Job description

Team Description: 
Kitware is seeking a Biomedical Modeler to join the Computer Vision team. In this role, you'll develop computational models of biological systems that support cutting-edge research in medical imaging, biomechanics, physiology, and digital health. You'll work closely with software developers, AI researchers, clinicians, and domain scientists to create validated models that answer challenging scientific and clinical questions. 
 
About the Projects:
Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence and mechanistic modeling approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, ARPA-H, DHA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Develop computational and mathematical models of the human body and human physiology.
  • Create patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).
  • Design and implement biomechanical, physiological, or multi-physics simulations.
  • Collaborate with software engineers to integrate models into research software and production applications.
  • Validate models using experimental or clinical data.
  • Work directly with clinicians, researchers, and sponsors to understand technical requirements.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Contribute to Kitware's open source software ecosystem.
Required Qualifications:
  • Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.
  • Experience developing computational or mathematical models of the human body.
  • Strong programming skills in C++ or Python (C++ preferred).
  • Experience with scientific computing and numerical methods.
  • Familiarity with medical imaging and image processing.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively in multidisciplinary research teams.
  • Due to contractual requirements, only U.S. citizens will be considered for this position.
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.
Preferred Qualifications:
  • Familiarity with the Pulse Physiology Engine.
  • Finite Element Analysis (FEA).
  • Biomechanics.
  • Computational fluid dynamics (CFD).
  • Cardiovascular modeling.
  • Digital twins.
  • Multiscale modeling.
  • Medical image segmentation and registration.
  • AI or machine learning applied to biomedical data.
  • Grant proposal development and sponsored research.
$110,000 - $150,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  
 
Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  
 
Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 
 
For more information on our benefit offerings please visit: https://www.kitware.com/careers/.
 
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 
 
Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.
 
If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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