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Physics Based Machine Learning Jobs in Niles, IL

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ...

PassFort

Machine Learning Engineer

Chicago, IL · On-site

$95K - $138K/yr

Experience with machine learning operations practices, including continuous integration and ... For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

Moody's Corporation

Machine Learning Engineer

Chicago, IL · On-site

$95K - $138K/yr

Experience with machine learning operations practices, including continuous integration and ... For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

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

As of Sep 14, 2026, the average hourly pay for physics based machine learning in Niles, IL is $19.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $25.38 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 are popular job titles related to Physics Based Machine Learning jobs in Niles, IL?

For Physics Based Machine Learning jobs in Niles, IL, the most frequently searched job titles are:

What job categories do people searching Physics Based Machine Learning jobs in Niles, IL look for?

The top searched job categories for Physics Based Machine Learning jobs in Niles, IL are:

What cities near Niles, IL are hiring for Physics Based Machine Learning jobs?

Cities near Niles, IL 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 Niles, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $41,535 per year, or $20 per hour.

Machine Learning Engineer/SRE-Remote

Chicago, IL • On-site

Georgia IT, Inc.
IT Services • 51 - 200 employees
Learn more about Georgia IT, Inc.external

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Georgia IT, Inc. is seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be responsible for managing Azure infrastructure for AI model development and deployment, monitoring model performance, and responding to outages related to model operations.
Responsibilities:
• Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance.
• Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise.
• Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution.
Qualifications:
Required:
• Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
• Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
• Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
• Proficient in building and optimizing machine learning models, with a deep understanding of various Client algorithms and frameworks.
• Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch.
• Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
• Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
• Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.
Preferred:
• Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning).
• Experience with CI/ CD tools to deploying Client services and applications specific to Azure cloud platform.
• Familiarity with DevOps practices and tools for automating infrastructure and deployments.
• Knowledge of model versioning and model management tools.
• Understanding of security best practices in AI model deployment.
• Certifications in relevant areas, such as Azure certifications or machine learning certifications.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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