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Model Predictive Control Jobs in Illinois (NOW HIRING)

Lead Data & AI Engineer

Chicago, IL · Hybrid

$112K - $135K/yr

Proven ability to deploy predictive models and analytics solutions into production environments ... control. * Experience working with industrial IoT, SCADA, and MES systems, including real-time data ...

Lead Data & AI Engineer

Chicago, IL · On-site

$112K - $135K/yr

Proven ability to deploy predictive models and analytics solutions into production environments ... control. * Experience working with industrial IoT, SCADA, and MES systems, including real-time data ...

Lead Data & AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Proven ability to deploy predictive models and analytics solutions into production environments ... version control. * Experience working with industrial IoT, SCADA, and MES systems, including ...

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

... predictive analytics, and optimization. Model Development and Deployment Oversee the design ... control, validation, and ongoing performance monitoring. Partner with risk management and ...

... control * Follow model development best practices and model risk governance standards Business ... Familiarity with several predictive modeling techniques (e.g., GLMs, treebased models, gradient ...

Showing results 21-40

Model Predictive Control information

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 are popular job titles related to Model Predictive Control jobs in Illinois?

For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Illinois look for?

The top searched job categories for Model Predictive Control jobs in Illinois are:

What cities in Illinois are hiring for Model Predictive Control jobs?

Cities in Illinois with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Scientist II, Biologics Drug Product Development

North Chicago, IL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Key responsibilities

  • Lead matrix drug product teams for internal and external projects and represent Bio DPD in cross‑functional teams.

  • Design and execute biologics drug product formulation development, characterization, and robustness studies.

  • Communicate development plans, risks, and mitigation strategies to stakeholders and line management.


Job description

Job Description

AbbVie's Biologics Drug Product Development (Bio DPD) within Development Sciences is a global organization responsible for drug product formulation and process development, and definition of product presentation for biologics (proteins, conjugates, peptides, neurotoxins, etc.) and genetic medicine (AAV, LNPs, Cell Therapy). AbbVie seeks a highly motivated Senior Scientist II located in North Chicago, IL, with a proven track record in biologics drug product formulation development, predictive stability, in‑use, and quality risk management.

Key Responsibilities
  • Lead matrix drug product teams for one or more internal and external projects and represent Bio DPD in the cross‑functional Product Presentation and Device Strategy Team (PPDST) and the CMC Team.
  • Lead the design and execution of biologics drug product formulation development, characterization and robustness studies.
  • Serve as subject matter expert in biologics predictive stability modeling, in‑use and administration procedures, and QRM.
  • Effectively and timely communicate development plans, risks, and mitigation plans to stakeholders and line management.
  • Initiate and/or support scientific initiatives to drive innovation, continuously enhance capabilities and platforms, and improve business processes.
Qualifications
  • Bachelor’s, Master’s, or PhD in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or related disciplines with 12+ years (Bachelors), 10+ years (Masters), or 4+ years (PhD) of relevant industry experience.
  • Proven ability to solve critical scientific problems.
  • Experience leading drug product development as the functional lead within cross‑functional teams.
  • Strong experience with biologics (proteins, conjugates, peptides and/or neurotoxins) and/or genetic medicine (AAV, LNPs, cell therapy) formulation development, and QRM.
  • Strong experience in predictive stability modeling (statistical, phenomenological, mechanistic, and/or AI/ML) for biologics.
  • Strong experience in in‑use compatibility and stability for biologics products.
  • Strong experience in quality risk management.
Preferred Qualifications
  • Understanding of relevant cGMP and regulatory guidance.
  • Experience with sterile manufacturing unit operations (freeze‑thaw, compounding, mixing, filtration and filling) development, characterization, scale‑up and technology transfer.
  • Experience managing third‑party manufacturers of sterile parenteral products.
  • Experience with quality risk management and drug product control strategies.
Key Competencies
  • Deep scientific knowledge and significant hands‑on experience with predictive stability modeling, administration procedures and risk management.
  • Effectively communicates to influence without authority, drives technical excellence, and inspires continuous improvement.
  • Builds strong relationships with peers and cross‑functional partners to enable higher performance.
  • Connects ideas from disparate fields, integrates data and information quickly, and takes risks to achieve the highest performance.
  • Raises the bar and is never satisfied with the status quo.
  • Creates a learning environment, open to suggestions and experimentation for improvement.
  • Embraces the ideas of others, nurtures innovation and manages innovation to reality.
Benefits

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and may ultimately pay more or less than the posted range. This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our long‑term incentive programs.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer, Veterans, Disabled.

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