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Machine Learning Control Systems Jobs (NOW HIRING)

Allen Control Systems

WI · On-site

$95K - $131K/yr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical ...

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Machine Learning Control Systems information

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$61K

$108.8K

$175.5K

How much do machine learning control systems jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning control systems in the United States is $108,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What are machine learning control systems?

Machine learning control systems are automated systems that use algorithms and data-driven models to optimize and control dynamic processes. Unlike traditional control systems, which rely on fixed mathematical models, these systems learn from data to adapt to changing conditions and improve their performance over time. They are widely used in fields like robotics, autonomous vehicles, industrial automation, and smart grids to achieve more efficient and robust control. By integrating machine learning, these systems can handle complex, nonlinear, or uncertain environments better than conventional approaches.

How does a machine learning control systems engineer typically collaborate with other teams during a project?

A Machine Learning Control Systems engineer often works closely with multidisciplinary teams, including software developers, data scientists, and hardware engineers. Collaboration involves regular meetings to align control algorithms with system requirements and ensure seamless integration with hardware components. Effective communication is key, as the engineer must translate complex machine learning concepts into actionable tasks for different stakeholders. Additionally, they often participate in joint testing and troubleshooting sessions to optimize system performance and reliability.

What are the key skills and qualifications needed to thrive as a machine learning control systems engineer, and why are they important?

To thrive as a Machine Learning Control Systems Engineer, you need a strong background in control theory, machine learning algorithms, and proficiency in mathematics, often supported by a degree in engineering or computer science. Familiarity with programming languages like Python or MATLAB, experience with simulation tools such as Simulink, and knowledge of relevant frameworks (e.g., TensorFlow, PyTorch) are typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively across disciplines are valuable soft skills in this role. These competencies are crucial for designing robust, adaptive systems that integrate machine learning with control engineering to solve complex automation and optimization challenges.

What other helpful pages are available for Machine Learning Control Systems?

Other pages related to Machine Learning Control Systems:

Infographic showing various Machine Learning Control Systems job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $108,776 per year, or $52.3 per hour.

AI Control Systems Engineer

Superior, MI • On-site

Hyundai Motor Company
See more jobs at Hyundai Motor Companyexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

AI Control Systems Engineer
Hyundai America Technical Center, Inc. (HATCI) is looking for an engineer to join the Vehicle Control Technology Team of the Vehicle Control Software Department, which develops innovative features to enhance dynamics, controllability, and efficiency of Hyundai, Kia, and Genesis vehicles for the North American (NA) market
The Team:
The Vehicle Control Technology Team is responsible for spearheading new vehicle motion control technology concepts for future generation vehicles for the NA market, expanding Hyundai Motor Group (HMG) vehicle control capabilities in coordination with the R&D Headquarters, developing prototypes and proof-of-concept demonstrations to various global teams within HMG for new Vehicle Control Software functions targeted for the NA market, developing and maintaining simulation environments that enable co-simulation of algorithms and virtual calibration optimization, identifying market trends and customer needs for selection of new concept ideas, and supporting the development and verification of software updates for the NA market
The Position:
The AI Control Systems Engineer would leverage advanced techniques, such as machine learning, reinforcement learning, and model predictive control (MPC), to develop novel solutions that would improve the performance, efficiency, and overall customer experience, of next-generation Hyundai, Kia, and Genesis vehicles and their behaviors in the NA market, specifically focusing on challenging NA-use cases, such as heavy-duty towing and rugged off-road maneuvers
What You Will Do:
  • Engineer machine learning solutions to replace or augment physical sensors (e.g., estimating payload, trailer mass, and/or tire-road friction), reducing hardware costs and improving the driving experience in rugged conditions
  • Design machine learning algorithms for high-stress systems used in towing or off-roading to predict component failures prior to occurrence, reducing downtime and maintenance costs
  • Develop machine learning algorithms to enhance personalized customer experiences within vehicle control features, adapting to individual driving styles across different environments
  • Research and develop AI-driven control strategies (by leveraging machine learning, reinforcement learning, and/or MPC) to optimize vehicle performance. Applications may include intelligent towing assist, terrain adaptation, and/or energy management.
  • Adapt and optimize complex AI models for deployment onto embedded vehicle control units, ensuring real-time execution within automotive safety constraints
  • Support the transition of novel algorithms from simulation environments (e.g., Python, MATLAB/Simulink, etc.) to rapid prototyping hardware for in-vehicle integration
  • Participate in hands-on, in-vehicle testing and tuning of control algorithms, which may include supporting validation efforts at North American proving grounds or off-road testing facilities

What You Will Bring to the Role:
  • Basic Qualifications:
    • Bachelor's degree in aerospace engineering, computer engineering, computer science, electrical engineering, mechanical engineering, robotics, or a related discipline
    • 1-7 years of professional experience leveraging advanced techniques, such as machine learning, reinforcement learning, and/or MPC, to research and develop AI-driven control strategies that contribute to optimizing vehicle behavior performance
    • Proficiency in Python (for machine learning model development) and C/C++ (for embedded systems/production code development)
    • Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, etc.)
    • Knowledge of reinforcement learning or deep learning techniques specific to time-series data or control problems
    • Proficiency in MATLAB/Simulink and Stateflow (for model-based design and control logic development)
    • Solid understanding of classical and modern control theory (e.g., PID, MPC, state estimation, Kalman filters, etc.)
    • Fundamental understanding of vehicle dynamics (i.e., longitudinal, lateral, and vertical)
    • Familiarity with automotive communication protocols (e.g., CAN, LIN, Automotive Ethernet, etc.) and tools (e.g., Vector CANalyzer, CANape, etc.)
    • Ability to explain technical topics to both technical and non-technical stakeholders
    • Excellent time management, self-management, and organization skills
    • Strong written, oral, and interpersonal skills
  • Preferred Qualifications:
    • Master's degree or PhD with a research focus on artificial intelligence (AI), machine learning, control theory, or vehicle dynamics
    • Familiarity with electric vehicle systems, hybrid/conventional powertrains, and chassis components
    • Experience with MCU application software architectures, including AUTOSAR

What Hyundai Can Offer You:
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts
  • Flexible Work Hours

Other Details:
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.

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