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Physics Informed Neural Networks Jobs in Virginia

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ... neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources.

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ... neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources.

ICF

Senior Climate Analytics Specialist

Arlington, VA · On-site

$100K - $123K/yr

... physics-informed approaches * Design, train, and rigorously validate machine learning and ... networks, or other sectors * Experience working with extreme events, tail risks, or rare-event ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies opportunities to continue to learn in the ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies opportunities to continue to learn in the ...

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Physics Informed Neural Networks information

What is a physics informed neural network?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What does a physics informed neural network do?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.

What are the key skills and qualifications needed to thrive in physics informed neural networks?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

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What job categories do people searching Physics Informed Neural Networks jobs in Virginia look for?

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Physics Informed Neural Networks jobs near you
Infographic showing various Physics Informed Neural Networks job openings in Virginia as of August 2026, with employment types broken down into 46% Full Time, 52% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer- Senior with Security Clearance

SOSi

Chantilly, VA • On-site

$118K - $162K/yr

Other

Re-posted 9 days ago

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights. Essential Job Duties * Leverage data science and machine learning processes to answer mission challenges.
* Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
* Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. * Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
* Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
* Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
* Minimum 5 years of experience in a data science/engineer role.
* Experience developing and using agentic AI frameworks including Autogen. * Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability. * Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources. * Experience with developing and deploying resources to cloud environments. * Experience working in Linux and Windows environments and managing resources for efficiency. * Demonstrated ETL expertise.
Preferred Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
* Experience in the US Intelligence Community. Additional Information Work Environment * Office setting with a combination of desk work and meetings.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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