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Physics Informed Machine Learning Jobs in Chicago, IL

ComEd

Sr Data Scientist

Oakbrook Terrace, IL · On-site

Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field * 4-7 years of relevant experience developing hypotheses, applying machine learning ...

Calamos Investments

Quantitative Analyst

Naperville, IL · On-site

$110K/yr

Incorporate machine learning techniques into systematic strategy research and development. Help ... Math, Physics, or a related field and 3 years of experience in financial engineering. Must also ...

ComEd

Assoc Data Scientist

Oakbrook Terrace, IL · On-site

$58K - $59K/yr

Become a subject matter expert in the areas of artificial intelligence, machine learning, feature ... Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

SciPro

Principal ML/AI Scientist

Mundelein, IL · Hybrid

The ideal candidate has experience building applied machine learning systems in healthcare or ... Physics, or a related technical discipline • Comfortable operating in fast-moving, highly ...

Purple Drive Technologies

Data Scientist

Chicago, IL · On-site

Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics ... Experience in applying machine learning models within an investing context, with familiarity in ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Physics, Computer Science, Financial Engineering, or similar). * Several years (5+ Years) of ...

Liminal

Sr. Systems Engineer

Mundelein, IL · On-site

$106K - $146K/yr

Our breakthrough EchoStat ® platform uses ultrasound and machine learning technology to supply ... We work closely on a foundation of mutual trust and informed decisions. * Our core values are trust ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

Minimum of bachelor's degree or equivalent work experience in Data Science, Computer Science, Statistics, Physics, Engineering, or a related quantitative field. * Knowledge of machine learning ...

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Physics Informed Machine Learning information

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

As of Jun 13, 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 job?

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:
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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 June 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $42,989 per year, or $20.7 per hour.
Quantitative Analyst

Quantitative Analyst

Calamos Investments LLC

Naperville, IL • On-site, Remote

$110K/yr

Full-time

Posted 7 days ago

Job description

Job Description

Calamos Advisors LLC has an opening for Quantitative Analyst in Naperville, Illinois. Responsible for conducting quantitative analysis within a team setting. Build alpha signals, refine, and implement multi-factor investment models, create portfolio analytics, and enhance the investment toolkit. Back test models and support risk management and product development efforts, specifically, work in ESG-related monitoring and modeling. Develop and support quantitative stock selection models. Systematic discovery of alpha signals using traditional and alternative datasets. Incorporate machine learning techniques into systematic strategy research and development. Help ensure that quantitative models, research tools and risk controls are adequate to support new product initiatives. Collaborate with other team members and other groups in order to drive productivity. Support technological infrastructure and analytical research function.

Job Requirements

Position requires a Master’s degree in Quantitative & Computational Finance, Financial Engineering, Econometrics, Computer Science, Engineering, Math, Physics, or a related field and 3 years of experience in financial engineering.

Must also have work experience in:

  • Conducting statistical analysis, quantitative research, and testing to improve portfolio management and performance;
  • Utilizing technical skills including Machine Learning and statistical analysis to elicit objective answers from historical financial market data;
  • Option datasets: Option Metrics or I Volatility;
  • Analyzing structured finance products, individual derivative positions in the portfolio, and exploring and visualizing patterns and trends in the analyzed data;
  • Providing investment research and presenting it including document workflows, processes, and results;
  • Adapting financial and economic theory to solve business problems, implementing findings through back testing and simulations;
  • Writing, debugging, and testing software written in Python and with PyCharm; and
  • Database management and SQL.

SALARY:                         $110,000.00 per year

Please submit resume online through this site https://www.calamos.com/.

Apply