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Hourly Embedded Machine Learning Jobs in Wisconsin

WI ยท On-site

$90 - $130/hr

Oversee the full stack: optical setup, hardware design, embedded/software components, algorithms ... Experience in Computer Vision, Image Processing, AI, or Machine Learning. * A broad understanding ...

New

Senior Engine Code Engineer

Waukesha, WI ยท On-site

$104K - $143K/yr

... embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

WI ยท On-site

$140 - $180/hr

Integrate machine learning models and AI-driven analytics to augment signal processing and network ... Familiarity with embedded systems and hardware/software integration. * Experience integrating and ...

New

Machine Operator

Manitowoc, WI ยท On-site

$16.50 - $19.50/hr

... hourly shift differential. * An opportunity to work for an organization that is invested in your success. * Opportunities for learning, growth, and development. What you will do: Responsible for ...

Machine Operator

Manitowoc, WI ยท On-site

$16.50 - $19.50/hr

Pay for this position is based on experience PLUS you will receive a $2 hourly shift differential ... Opportunities for learning, growth, and development. What you will do: Responsible for operating ...

Sr. Electrical Engineer - NPD

Brookfield, WI ยท On-site

$101K - $132K/yr

Andwe'repushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doorsyou'llbe empowered every day to own it ...

Forming Machine Operator

Appleton, WI ยท On-site

$28.59/hr

Maintains a continuous learning mindset and adapts quickly to new equipment, processes, and roles ... Competitive hourly rateInsurance day ONE of employment401k match up to 6%PTO, company holidays ...

Forming Machine Operator

Appleton, WI ยท On-site

$16.50 - $19.75/hr

Maintains a continuous learning mindset and adapts quickly to new equipment, processes, and roles ... Competitive hourly rate * Insurance day ONE of employment * 401k match up to 6% * PTO, company ...

Showing results 21-40

Hourly Embedded Machine Learning information

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.

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 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.

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 the most commonly searched types of Embedded Machine Learning jobs in Wisconsin? The most popular types of Embedded Machine Learning jobs in Wisconsin are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Wisconsin look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Hourly Embedded Machine Learning jobs? Cities in Wisconsin with the most Hourly Embedded Machine Learning job openings:
Infographic showing various Hourly Embedded Machine Learning job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr Electrical Engineer - Embedded Hardware

Milwaukee Tool

Brookfield, WI โ€ข On-site

$101K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago


Job description

Job Description:

INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutionson ourelectricalengineering teams. Our Engineering Team is responsible for giving life to thebatteries,motors,and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineeringresources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence.

Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.

Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.

The Senior Electrical Engineer - Embedded Hardware will be responsible for designing, adapting, and troubleshooting embedded communications circuits for performance, cost, and manufacturability. Hardware circuits could include MCUs, antenna tuning, filters, low-noise amplifiers, transmit amplifiers, transceivers, and low noise power supplies to operate these circuits. The Senior Engineer will also be responsible for driving awareness of MCU selection/evaluation, product regulations and working with project teams to drive new intelligent feature design release.

You'll also be DISRUPTIVE through these duties and responsibilities:

  • Mentor junior engineers in engineering best practices including task management, Gantt charts, root cause analysis, circuit / PCB design, and PCBA manufacturing.
  • Design, prototype, test, and troubleshoot hardware for communications applications at a platform level to meet Milwaukee Tool's needs.
  • Design and qualify new designs to applicable regulatory standards such as FCC, IC, CE, UL, Bluetooth, NFC, etc.
  • Lead technology investigations, develop system requirements, define future architectures and reusability strategies.
  • Work with marketing, project leadership, and product owners to add new communications features for next generation power tools, both wired and wireless
  • Use laboratory equipment such as network analyzers, power analyzers, spectrum analyzers, protocol analyzers, oscilloscopes, and data acquisition systems.
  • Lead the development of test plans/procedures and test cases for new productembedded systems and subsystems development.
  • Make minor firmware modifications to generate and adjust prototypes
  • Effectively communicate and motivate up, down and across the organization to a diverse range of technical and non-technical team members. Driving effective tradeoff discussions.
  • Drive urgency in project schedules and accountability for establishing and achieving key project metrics that meet the organization's needs.

What TOOLS you'll bring with you:

  • Bachelor of Science Degree in ElectricalEngineering, Computer Engineering, or related field.
  • 5+ years of embedded systems experience, including MCU selection/evaluation
  • Understanding of digital circuits and the interaction between firmware and electronics in a communications system.
  • Ability to realize component level design and test for signal integrity
  • Familiarity with using schematic capture, PCB layout software, and knowledge of industry best practices.
  • Proficiency in creating sub-system and component level design requirements.
  • Proficiency with standard lab equipment and specialized communication test equipment.
  • Self-motivated, organized, efficient, and process oriented with a strong work ethic.
  • Excellentproblem-solving skills, exercises independent judgement and works well under pressure in a dynamic environment.
  • Ability to travel 10% of the time (domestic and international).

Other TOOLS we prefer you to have:

  • Master's degree in electrical engineering or related field.
  • Working knowledge of a second modern programming language such as Python or C++.
  • Familiarity of wireless regulatory certification standards such as FCC, IC, CE, etc.
  • Knowledge of Bluetooth Low Energy protocols and features and understanding power management and ultra-low power embedded hardware and firmware implementations

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.