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Model Predictive Control Jobs in Chicago, IL (NOW HIRING)

Senior AI/ML Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Build predictive models using large-scale financial, transactional, and behavioral datasets to ... Through our user-friendly tools and intuitive platforms, we empower our members to take control of ...

SVP, Technical Operations

Chicago, IL ยท On-site

$235K - $250K/yr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

SVP, Technical Operations

Chicago, IL ยท On-site

$185K - $239K/yr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

SVP, Technical Operations

Chicago, IL ยท On-site

$185K - $239K/yr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

SVP, Technical Operations

Chicago, IL ยท On-site

$235 - $250/hr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

... control. Qualifications * Education: Bachelor's degree in Data Analytics, Computer Science ... Knowledge of statistical methods and basic predictive modeling techniques. What We Offer * Targeted ...

Data Scientist

Chicago, IL ยท On-site +1

$90K - $130K/yr

... to take control of their finances via a full suite of digital banking and lending products ... Build predictive models to optimize lending decisions by using advanced statistical modeling and ...

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Predictive analysis and regression analysis; Root-Cause and Root-Cause Failure Analysis (RCF, RCFA); Fault Tree Analysis; Reliability Modeling and Prediction; Supervisory Control and Data Acquisition ...

System Integration Architect

Chicago, IL ยท On-site

$122.95 - $210.77/hr

They combine software (e.g., MES, ERP, SCADA), AI (e.g., predictive models, LLMs), and automation (e.g., machine and plant control) to optimize operations and deliver real value, such as higher yield ...

Showing results 41-60

Model Predictive Control information

See Chicago, IL salary details

$56.7K

$99.5K

$134.9K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Chicago, IL is $99,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $111,300.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What job categories do people searching Model Predictive Control jobs in Chicago, IL look for?

The top searched job categories for Model Predictive Control jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Model Predictive Control jobs?

Cities near Chicago, IL with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control 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 $99,485 per year, or $47.8 per hour.

Senior AI/ML Engineer

Chime Financial, Inc

Chicago, IL โ€ข On-site

$107K - $147K/yr

Full-time

Medical, Life, PTO

Re-posted 13 days ago


Job description

About the role
We're hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the next generation of AI-powered growth and marketing capabilities at Chime. In this role, you'll develop foundational transformer models that convert behavioral and financial data into highly personalized experiences, recommendations, and communications for millions of members.
You'll work closely with the Growth & Marketing team, as well as the Product and Engineering teams to deploy scalable AI systems that improve member engagement and drive company growth. This is a highly applied role where you'll have the opportunity to work with rich datasets, solve challenging real-world problems, and build cutting-edge deep learning systems in production.
The base salary offered for this role and level of experience will begin at $172,000.00 and up to $238,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
  • Develop and deploy sequential deep learning models and traditional machine learning systems to power growth and marketing initiatives
  • Build predictive models using large-scale financial, transactional, and behavioral datasets to improve personalization and member engagement
  • Partner cross-functionally with Growth & Marketing, Product, and Engineering teams to drive strategic AI/ML initiatives
  • Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep learning systems in both batch and real-time environments
  • Generate insights and recommendations that improve growth effectiveness and the overall member experience
  • Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities
  • Help identify technology gaps and opportunities where AI/ML solutions can create measurable business impact
To thrive in this role, you have
  • Deep expertise in building sequential and deep learning models, especially outside of traditional NLP applications and within financial or behavioral data domains
  • Strong experience across the end-to-end ML lifecycle, including training, experimentation, optimization, deployment, and monitoring
  • Experience working with large-scale transactional, financial, or behavioral datasets to develop predictive models
  • Hands-on experience with AWS and modern ML infrastructure tools such as SageMaker, Kafka, Airflow, Redis, Snowflake, and Spark
  • Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as PyTorch and PySpark for scalable ML development
  • A strong MLOps mindset with experience deploying and maintaining production-grade ML systems
  • The ability to operate independently, collaborate cross-functionally, and move quickly in ambiguous environments

#LI-GC1 #LI-Hybrid
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't-who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
  • Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
  • Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
  • Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
  • Generous vacation policy and company-wide paid days off
  • 1% of your time off to support local community organizations of your choice
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • Access to family planning reimbursement
  • โ™ฅ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.