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Hourly Embedded Machine Learning Jobs in Michigan

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning technologies (e.g. PyTorch) • Experience with Linux Preferred : • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs. • ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems * Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI · On-site

Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems * Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics ...

Torc Robotics

ML Engineer, II - App Engine

Ann Arbor, MI · On-site

... machine learning technologies (e.g. PyTorch) • Experience with Linux Preferred : • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs. • ...

Comprehensive Logistics

Supervisor

Detroit, MI · On-site

CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... Plans, assigns, and directs the work of hourly team members. * Rewards, provides corrective action ...

Dorleco

S 101 - Requirements Engineer

Dearborn, MI · On-site

Systems Engineer / Embedded Systems EngineerJob Overview We are seeking a highly motivated and ... Analyze system architectures, state machines, flowcharts, and functional designs. * Develop clear ...

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Hourly Embedded Machine Learning information

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are popular job titles related to Hourly Embedded Machine Learning jobs in Michigan?

For Hourly Embedded Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Hourly Embedded Machine Learning jobs in Michigan look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in Michigan are:

What cities in Michigan are hiring for Hourly Embedded Machine Learning jobs?

Cities in Michigan with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

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 23 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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