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Physics Based Machine Learning Jobs in Manassas, VA

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

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 ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

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 ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Reston, VA · On-site

... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

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 ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

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 ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

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 ...

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

As of Sep 12, 2026, the average hourly pay for physics based machine learning in Manassas, VA is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 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 Manassas, VA are hiring for Physics Based Machine Learning jobs?

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

Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Manassas, 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 $41,721 per year, or $20.1 per hour.

Machine Learning Engineer

Chantilly, VA • On-site

Cymertek Corporation
IT Services • 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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