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Physics Informed Machine Learning Jobs in Chicago, IL

Koch Industries

R&D Engineer

Lisle, IL · On-site

$80K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... intelligence and machine learning (AI/ML) techniques to accelerate structural and electrical ... explore physics-informed AI models and hybrid simulation workflows (e.g., reduced-order modeling ...

New

Koch Industries

CAE Engineer

Lisle, IL · On-site

$80K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with machine learning and deep learning techniques, including physics-informed neural networks (PINNs). * Established records of publication such as patents and technical papers. This ...

New

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Masters or PhD - Quantitative field such as Statistics, Mathematics, Physics, or Engineering

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning or related area * BS/MS/PhD degree in a technical field - Engineering, Computer Science, Math, Physics, or similar * Proven research background in academic or professional ...

Akuna Capital

Quantitative Researcher

Chicago, IL

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning or related area * BS/MS/PhD degree in a technical field - Engineering, Computer Science, Math, Physics, or similar * Proven research background in academic or professional ...

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

As of Aug 15, 2026, the average hourly pay for physics informed machine learning in Chicago, IL is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $26.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Chicago, IL?

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

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

The top searched job categories for Physics Informed Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Physics Informed Machine Learning jobs?

Cities near Chicago, IL with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,989 per year, or $20.7 per hour.

Quantum Computing Lab Intern

Quantum Machines

Chicago, IL • On-site

Part-time

Posted 17 days ago

Job description

Description
Join the Team Building Chicago's Next-Generation Quantum Testbed
The IQCC is a world-class quantum facility, providing state-of-the-art infrastructure to support quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems, providing the hardware and software infrastructure powering many of the world's most advanced quantum computing programs.
We are looking for a highly motivated intern who is excited to gain hands-on experience with cutting-edge quantum hardware, advanced cryogenic systems, and one of the fastest-growing quantum ecosystems in the world. This is a unique opportunity to work alongside experienced physicists and engineers while contributing to the operation and development of advanced quantum computing infrastructure.
The successful candidate will join the team operating our new laboratory in Chicago, which includes multiple dilution refrigerators, advanced measurement systems, and a wide range of quantum and classical devices. The facility is being established by Quantum Machines as part of the Illinois Quantum & Microelectronics Park (IQMP).
Responsibilities:
  • Assist with the operation and maintenance of dilution refrigerators and supporting laboratory infrastructure.
  • Support calibration and characterization activities for quantum devices using Quantum Machines' control systems.
  • Participate in the assembly, testing, and optimization of experimental quantum computing platforms.
  • Work closely with physicists, engineers, and the lab management team to solve technical and operational challenges.
  • Contribute to delivering a world-class research environment for academic and industry customers.

Internship Details:
  • Location: Chicago, Illinois (On-site).
  • Time Commitment: 20-25 hours per week (2-3 days per week).
  • Start Date: Immediate.
  • Duration: Ongoing, with the possibility of conversion to a full-time position.

Requirements
  • Master's degree or PhD in Experimental Physics, Electrical Engineering, Applied Physics, Quantum Engineering, or a related field.-Must
  • Strong experimental laboratory skills and attention to detail.-Must
  • Excellent communication, organizational, and problem-solving abilities.
  • Ability to work on-site in Chicago.-Must
  • Current enrolment in a Master's or PhD program is not required

Preferred
  • Experience working with quantum computing hardware.
  • Experience operating cryogenic systems or dilution refrigerators.
  • Familiarity with microwave measurements and laboratory instrumentation.
  • Python programming experience.
  • Experience with Quantum Machines control systems.

What We Offer
  • A paid internship with hands-on exposure to state-of-the-art quantum technologies.
  • The opportunity to work alongside leading experts in quantum computing and experimental physics.
  • Direct involvement in a rapidly growing ecosystem that includes universities, startups, national laboratories, and technology companies.
  • A unique learning experience with the potential to transition into a full-time role.

Apply