Interest in convex optimization, optimal control, or model-predictive control is a plus * Strong analytical skills, willingness to learn production automotive software practices, and clear technical ...
Interest in convex optimization, optimal control, or model-predictive control is a plus * Strong analytical skills, willingness to learn production automotive software practices, and clear technical ...
Interest in convex optimization, optimal control, or model-predictive control is a plus * Strong analytical skills, willingness to learn production automotive software practices, and clear technical ...
Interest in convex optimization, optimal control, or model-predictive control is a plus * Strong analytical skills, willingness to learn production automotive software practices, and clear technical ...
Sr Data Scientist
Novi, MI · On-site
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. * Apply advanced statistical techniques, regression modeling, predictive analytics ...
Sr Data Scientist
Novi, MI · On-site
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. * Apply advanced statistical techniques, regression modeling, predictive analytics ...
Sr Data Scientist
Novi, MI · On-site
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. * Apply advanced statistical techniques, regression modeling, predictive analytics ...
Sr Data Scientist
Novi, MI · On-site
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. * Apply advanced statistical techniques, regression modeling, predictive analytics ...
Sr Data Scientist
Novi, MI · On-site
... treatment and control frameworks, and communicate results in a way that enables confident ... Apply advanced statistical techniques, regression modeling, predictive analytics, and machine ...
Sr Data Scientist
Novi, MI · On-site
... treatment and control frameworks, and communicate results in a way that enables confident ... Apply advanced statistical techniques, regression modeling, predictive analytics, and machine ...
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. Apply advanced statistical techniques, regression modeling, predictive analytics, and ...
Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools. Apply advanced statistical techniques, regression modeling, predictive analytics, and ...
Data Scientist
Ann Arbor, MI · On-site +1
We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...
Data Scientist
Ann Arbor, MI · On-site +1
We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...
Expert Data Scientist
Detroit, MI · On-site
... control technologies, and energy services to industries in 19 states. But we're more than a leading ... Develops complex data sets and predictive models to support key decisions to improve safety ...
Expert Data Scientist
Detroit, MI · On-site
... control technologies, and energy services to industries in 19 states. But we're more than a leading ... Develops complex data sets and predictive models to support key decisions to improve safety ...
Expert Data Scientist
Detroit, MI · On-site
... control technologies, and energy services to industries in 19 states. But we're more than a leading ... Develops complex data sets and predictive models to support key decisions to improve safety ...
Expert Data Scientist
Detroit, MI · On-site
... control technologies, and energy services to industries in 19 states. But we're more than a leading ... Develops complex data sets and predictive models to support key decisions to improve safety ...
Machine Learning Engineering
Dearborn, MI · On-site
Work on analytics pipelines supporting predictive modeling, data flows, and APIs. Ensure data ... Experience with CI/CD tools like Tekton, version control (GitHub), and code quality/security tools.
Quick apply
Machine Learning Engineering
Dearborn, MI · On-site
Work on analytics pipelines supporting predictive modeling, data flows, and APIs. Ensure data ... Experience with CI/CD tools like Tekton, version control (GitHub), and code quality/security tools.
... data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics ... control (Git) and writing clean, modular, and maintainable code. • Master's Degree Company
... data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics ... control (Git) and writing clean, modular, and maintainable code. • Master's Degree Company
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
... 3D modeling software * Proficient in problem solving methodology * Exposure to predictive ... Lead interactions with planning/scheduling, inventory control and maintenance purchasing teams on ...
... 3D modeling software * Proficient in problem solving methodology * Exposure to predictive ... Lead interactions with planning/scheduling, inventory control and maintenance purchasing teams on ...
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
Quick apply
... models for engineering applications * Replace conventional rule-based control algorithms and ... Support development of digital twins, predictive analytics, anomaly detection, optimization, and ...
Data Scientist
Detroit, MI · On-site
... to predictive modeling and advanced analytics. This role is a fit for someone who wants to do ... Support collaborative development using Git/GitLab for version control, reproducibility, and ...
Data Scientist
Detroit, MI · On-site
... to predictive modeling and advanced analytics. This role is a fit for someone who wants to do ... Support collaborative development using Git/GitLab for version control, reproducibility, and ...
... predictive demand forecasting, dynamic segmentation, sensitivity analysis, and optimization ... Establish and enforce robust MLOps practices, model governance, version control, and comprehensive ...
... predictive demand forecasting, dynamic segmentation, sensitivity analysis, and optimization ... Establish and enforce robust MLOps practices, model governance, version control, and comprehensive ...
... predictive demand forecasting, dynamic segmentation, sensitivity analysis, and optimization ... Establish and enforce robust MLOps practices, model governance, version control, and comprehensive ...
... predictive demand forecasting, dynamic segmentation, sensitivity analysis, and optimization ... Establish and enforce robust MLOps practices, model governance, version control, and comprehensive ...
MRO Consultant
Detroit, MI · On-site
$130K - $140K/yr
... and control towers for operational visibility • Enable predictive maintenance, reliability ... models, and value realization frameworks • Support RFP/RFI responses, solutioning, and client ...
MRO Consultant
Detroit, MI · On-site
$130K - $140K/yr
... and control towers for operational visibility • Enable predictive maintenance, reliability ... models, and value realization frameworks • Support RFP/RFI responses, solutioning, and client ...
Data Scientist
Detroit, MI · On-site
... to predictive modeling and advanced analytics. This role is a fit for someone who wants to do ... Use Git/GitLab for version control, reproducibility, and collaborative code development
Data Scientist
Detroit, MI · On-site
... to predictive modeling and advanced analytics. This role is a fit for someone who wants to do ... Use Git/GitLab for version control, reproducibility, and collaborative code development
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?
| Aspect | Model Predictive Control | Control Systems Engineer |
|---|---|---|
| Credentials | Engineering degree, control theory, process modeling | Engineering degree, control systems, automation |
| Work Environment | Industrial automation, process control, manufacturing | Design, develop, and maintain control systems across industries |
| Industry Usage | Process industries, chemical, oil & gas, manufacturing | Automation, 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 Michigan?
For Model Predictive Control jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Michigan look for?
The top searched job categories for Model Predictive Control jobs in Michigan are:
What cities in Michigan are hiring for Model Predictive Control jobs?
Cities in Michigan with the most Model Predictive Control job openings:
Engineer I - Algorithm
Farmington Hills, MI
ZF
• 10K+ employees10,000+ employees
Full-time
Medical, Retirement, PTO
Posted 9 days ago
ZF rating
6.3
Based on 57 frontline employees who took The Breakroom Quiz
Job description
Req ID 90947 | Gbl Elec HQ - Farmington Hills, United States Capri USA Group, Inc.
Job Description
The Robotics and Innovation team develops ZF's next generation of edge-connected driver assistance and automated driving functions. Work spans low-speed parking systems through Level 3 capabilities on highways and in complex urban environments. The team combines classical estimation and perception methods with modern C++ software engineering to deliver robust, production-oriented solutions. Engineers collaborate closely with internal controls, software, safety, and vehicle-integration groups as well as external suppliers. Entry-level members contribute to real functions while building depth in probabilistic robotics, sensor fusion, and automotive software practices. This position is part of ZF's ADAS & HPC business, which is entering an exciting new phase of growth and transformation within the advanced automotive technology space. The business unit is planned for divestiture, creating a unique opportunity to help shape the future of next-generation driver assistance and high-performance computing technologies.
What you can look forward to as Entry-Level Robotics and Innovation Engineer:
- Support design and implementation of driver assistance functions from parking assistance to higher-level automated driving features
- Develop and test modern C++ modules for perception, sensor fusion, estimation, and related algorithms
- Work in a CI/DevOps environment using Git and established software development workflows
- Collaborate with cross-functional teams (controls, software, safety, integration) and suppliers
- Contribute to prototyping and concept evaluation, including service-based frameworks such as ROS
- Participate in in-vehicle rapid prototyping of features and intellectual property
- Gain structured exposure to safety-critical embedded development practices
Your Profile as Entry-Level Robotics and Innovation Engineer:
- Bachelor of Science (or equivalent) in Mechanical Engineering, Electrical Engineering, Mathematics, Robotics, or a related field; Master's preferred
- 0-2 years of relevant experience; internships, co-ops, research assistantships, senior design, or substantial academic/personal projects accepted
- Working proficiency in object-oriented C++ (C++14 or later), shown through coursework, internships, or projects
- Familiarity with Git and basic software development practices (branching, reviews, CI concepts)
- Foundational knowledge of probabilistic robotics and related methods (State Space Modeling, Kalman filtering, or Bayesian approaches)
- Interest in convex optimization, optimal control, or model-predictive control is a plus
- Strong analytical skills, willingness to learn production automotive software practices, and clear technical communication
- Team-oriented working style; prior exposure to embedded systems, ROS, or ADAS internships is advantageous
- Must be based in southeast Michigan
What We Offer:
- A supportive collaborative team environment
- Annual Incentive Plan
- Paid Vacation
- Personal Time
- 401k Plan
- Health Care Benefits
- Paid Holidays
- A strong diversity culture
- Supportive Employee Groups and community outreach activities
Be part of our ZF team as Engineer I - ADAS/Robotics Algorithm and apply now!
Contact
Gabriela Palacio
DIVERSITY COMMITMENT:
Diversity, Equity and Inclusion are more than just words for us. They are at the core of the ZF Way that propels our team members towards their utmost success. We strive to build and nurture a culture where inclusiveness is a natural reflex. We actively seek ways to remove barriers so that every member of ZF can rise to their full potential. We aim to embed this in our legacy through how we operate and build our products as we shape next generation mobility, safety, sustainability and social justice.
With four generations across 118 nationalities in 41 countries, ZF combines a unique variety of backgrounds, perspectives, and ideas. Together, we solve problems, drive innovation and shape next generation mobility.
Our company is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with us and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us. Requests for reasonable accommodation will be considered on a case-by-case basis. ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Equal Employment Opportunity/Affirmative Action Employer M/F/Disability/Veteran
