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Physics Informed Machine Learning Jobs in Chicago, IL

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 ...

Fortive

Medical Health Physicist

Glenwood, IL · On-site

Qualify for MQSA physics testing within a year of hire * Operating within a team of other ... At least 2 years of experience using radiation machines. Fortive Corporation Overview Fortive ...

Vanguard-IP

Patent Agent #21136 Chicago

Chicago, IL

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 24, 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 July 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.
Senior/Staff Data Scientist, Consumer Apps - Klover

Senior/Staff Data Scientist, Consumer Apps - Klover

Attain

Chicago, IL • On-site

Full-time

Posted 23 days ago

Job description

About Attain
Built for consumers and companies, alike.
Klover's engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.
As part of this team, you'll help design, build, and scale the systems that underpin Klover's core products and platform. You'll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover's products, access their money, and experience transparent, low-fee financial services.
Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You'll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products-building systems and interfaces that emphasize reliability, privacy, and performance at scale.
About the role
Attain is seeking a Senior/Staff Data Scientist to support the growing needs of our suite of B2C financial services. This role will be highly hands-on, focused on building, improving, validating, and deploying predictive models that power consumer decisioning and business optimization across our app portfolio.
You will work on advanced machine learning and statistical modeling problems, including cash-flow based credit decisioning for our earned wage advance product, Klover, as well as consumer behavior modeling, transaction categorization, paycheck detection, fraud scoring, churn prediction, and other high-impact predictive modeling use cases. The ideal candidate combines strong quantitative fundamentals with practical experience building models and analytical systems from scratch.
Attain Office Hybrid Schedule:
  • Chicago, IL: 4 days in-office; 1 day remote

What a typical week might look like
  • Hands-on development of ML and statistical models at the core of our EWA product, with a focus on fast, rigorous, and high-quality execution
  • Build and improve predictive models across consumer decisioning, consumer behavior modeling, fraud, churn, transaction intelligence, and other business-critical use cases
  • Own the full model development lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and retraining
  • Develop reusable modeling pipelines, analytical tools, and production-quality code to support scalable data science work
  • Apply strong statistical and mathematical judgment to model evaluation, calibration, robustness testing, and business impact measurement
  • Collaborate with data analysts, engineers, product managers, and business stakeholders to deliver ML models with quality, efficiency, and precision
  • Identify new areas where data science, predictive modeling, and optimization can improve product and business outcomes

Preferred Qualifications
  • 5+ years of direct experience working as a Data Scientist, Machine Learning Scientist, Model Developer, Applied Scientist, Economist, or similar role on relevant business problems
  • Strongly preferred: Master's, or Ph.D. in a STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research, or a related quantitative field
  • Demonstrated ability to apply critical thinking, causal inference, abstract reasoning, and generalization to complex, ambiguous business and technical problems
  • Strong expertise developing, validating, deploying, and monitoring machine learning models in production
  • Experience with AI/ML-assisted development tools and MLOps practices, including experience working with large language models (LLMs) or autonomous agents for code generation and model refinement
  • Experience with predictive modeling, consumer behavior modeling, risk modeling, credit decisioning, fraud modeling, churn modeling, or other high-impact applied ML use cases
  • Solid foundation in statistics, probability, mathematics, and machine learning fundamentals
  • Strong Python coding skills, with the ability to build models, pipelines, and analytical tools from scratch
  • Strong SQL skills and experience working with large, messy, real-world datasets
  • Experience with feature engineering, model evaluation, calibration, monitoring, retraining, and model performance diagnostics
  • Experience with cloud computing services or platforms; GCP preferred
  • Familiarity with version control, peer code review, and collaborative software development practices
  • Demonstrated ability to learn new technologies, applications, and modeling approaches quickly
  • Willingness to roll up your sleeves and wear multiple hats across data science, analytics, modeling, and technical execution based on business needs
  • Strong written and verbal communication skills, including the ability to explain technical topics to both technical and non-technical audiences

We're excited to hear from you.
At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.

Apply