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Physics Informed Machine Learning Jobs in Chicago, IL

Purple Drive

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 ...

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ... immersive, physics-informed simulations to improve operational agility, quality, and speed to ...

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 ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/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 ...

UL

Associate Data Scientist

Northbrook, IL · On-site

$60K - $61K/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 ...

Bmo

Senior Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

... machine learning, or applied analytics. * Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field--or equivalent experience.

BMO Capital Markets

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

... machine learning, or applied analytics. * Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.

Vanguard-IP

Patent Agent #21136 Chicago

Chicago, IL · On-site

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

Apply Early

Vanguard-IP

Patent Agent #21136 Chicago

Chicago, IL · On-site

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

Vanguard-IP

Patent Agent #21136 Chicago

Chicago, IL · On-site

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

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

As of Jul 4, 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:
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 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.

Data Scientist

Purple Drive

Chicago, IL • On-site

Other

Posted 17 days ago

Job description

Overview:
Skills Required:
5+ years of relevant experience as a hands-on quantitative investment professional, with a track record of developing predictive alpha models in fixed income markets.
Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics, electrical engineering, computer science, applied economics, or finance).
Systematic Fixed Income investing experience a plus.
Proficiency in at least one programming language, ideally Python, with additional experience in PySpark, SAS , MATLAB, or R being advantageous.
Hands on experience working in Azure Cloud Services, ADLS, ADF, Databricks will be very helpful.
Strong knowledge of asset pricing, factor anomaly literature, and the application of sustainability data within an investing context.
Expertise across the entire quantitative investment lifecycle, including alpha research, risk management, portfolio management, trade execution, and the application of technology.
Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage.
Ability to think independently, creatively approach data analysis, and clearly communicate complex ideas.
Mandatory skills
Data Science
PySpark
Azure DataFactory
Azure Databricks
Secondary skills:
Asset Management

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