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Physics Based Machine Learning Jobs in Fairfax, VA

Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ... Advanced degree in in computer science, mathematics, physics, statistics. * Strong experience with ...

Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ... Advanced degree in in computer science, mathematics, physics, statistics. * Strong experience with ...

Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ... Advanced degree in in computer science, mathematics, physics, statistics. * Strong experience with ...

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

Bachelor 's Degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related ... Additional technical certifications may be considered based on program requirements.Communication ...

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

The company's Louisiana-based export projects service the global demand for North American natural ... Arlington Summary The Machine Learning Engineer will design, develop, and maintain the ...

Software Engineer - R117

Herndon, VA · On-site

$120 - $180/hr

Transition signal processing-based machine learning models to field-ready, real-time software ... BA/BS or higher degree in computer science, physics, applied mathematics, engineering, or related ...

Showing results 21-40

Physics Based Machine Learning information

See Fairfax, VA salary details

$5

$20

$26

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 Fairfax, VA is $20.51, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $26.06 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 Fairfax, VA look for?

The top searched job categories for Physics Based Machine Learning jobs in Fairfax, VA are:

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

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

Infographic showing various Physics Based Machine Learning job openings in Fairfax, VA as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,656 per year, or $20.5 per hour.

Machine Learning/AI Engineer

System One

Merrifield, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.

Requirements • Advanced degree in in computer science, mathematics, physics, statistics. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Experience with cloud computing infrastructure. • Experience with Computer Vision, image processing and video analytics. • Experience with Natural Language Processing/ Natural Language Understanding. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). • Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: • Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. • Knowledge on principles of A.I. Security and Safety. • Experience with Advance Reinforcement Learning Paradigms. • Experience with Speech Recognition. • Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1


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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US