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Physics Based Machine Learning Jobs in Chicago, IL

Quantum Machines

Machine Learning Engineer

Chicago, IL · On-site

... based ML services and libraries that integrate with the wider Quantum Machines control stack ... Required : • PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information ...

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Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$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 ...

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... Advanced degree (MS or PhD ) in EE, CS, Physics, or related field, or equivalent depth through ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Elevate. through digital product consulting, cloud solutions, AI-based data solutions, and staff ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ... Design and implement novel machine learning and deep learning models tailored to internal research ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/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 ...

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

As of Jun 12, 2026, the average hourly pay for physics based 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 types of projects or problems does a Physics Based Machine Learning professional typically work on?

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 is a Physics Based Machine Learning job?

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 are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

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 Chicago, IL? For Physics Based Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Chicago, IL look for? The top searched job categories for Physics Based Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Physics Based Machine Learning jobs? Cities near Chicago, 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 Chicago, IL as of June 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,989 per year, or $20.7 per hour.

Machine Learning Engineer

Quantum Machines

Chicago, IL • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Quantum Machines is a global leader in quantum computing control systems, and they are seeking a Machine Learning Engineer to design, build, and deploy machine learning systems for quantum processors. The role involves developing ML solutions that enhance the calibration, control, and operation of quantum technologies, working at the intersection of machine learning and quantum physics.
Responsibilities:
• Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
• Develop real-time parameter steering for calibration during QEC and between circuits.
• Develop and maintain agentic frameworks for autonomous system control and calibration.
• Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
• Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
• Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.
Qualifications:
Required:
• PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
• Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
• Strong Python proficiency, including scientific or systems-oriented codebases
• Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
• Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
• Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
• Proven software development track record and excellent technical communication skills
Preferred:
• Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
• Experience with sim-to-real, multi-objective RL, or meta-learning- advantage
Company:
Quantum Machines is a leading provider of quantum control solutions, powering quantum-classical integration at scale with Hybrid Control. Founded in 2018, the company is headquartered in Claymont, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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