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Hourly Embedded Machine Learning Jobs in Minnesota

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

... machine learning algorithms used in cardiac remote monitoring. This position will work alongside and collaborate closely with engineers with expertise in signal processing, embedded systems, cloud ...

University of St Thomas

Research Intern

Saint Paul, MN · On-site

$20/hr

... embedded systems development using microcontrollers * Design and implement digital signal processing algorithms and hardware accelerators * Develop and implement machine learning algorithms for ...

University of St Thomas

Research Intern

Saint Paul, MN · On-site

$20/hr

... embedded systems development using microcontrollers * Design and implement digital signal processing algorithms and hardware accelerators * Develop and implement machine learning algorithms for ...

Integer

Associate Machine Operator

Chaska, MN

$17.45 - $25.60/hr

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... hourly pay rate for weekend shift) Be part of the action behind the products that impact lives ...

Integer Holdings

Associate Machine Operator

Chaska, MN · On-site

$17.45 - $25.60/hr

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... hourly pay rate for weekend shift) Be part of the action behind the products that impact lives ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Grace Church - Chaska Part-time - 10 hours/week Pay: $20.00/hour Hourly - Non-Exempt KEY DUTIES AND ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

About the Job Grace Church - Chaska Part-time - 10 hours/week Pay: $20.00/hour Hourly - Non-Exempt ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

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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 Minnesota? The most popular types of Embedded Machine Learning jobs in Minnesota are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Minnesota? For Hourly Embedded Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Minnesota look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Hourly Embedded Machine Learning jobs? Cities in Minnesota with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Embedded Software Engineer (Level DOE)

Embedded Software Engineer (Level DOE)

DOOSAN

Minneapolis, MN

$79K - $97K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers - and make the world a better place. Join our team today and start building your career with a worldwide leader.

Job Information

We are seeking a motivated and technically strong engineer to contribute to the development of robotics and Physical AI software for autonomous machine control platforms.

In this role, you will work as an individual contributor on applied robotics and AI systems, supporting perception, autonomy, and simulation capabilities that enable intelligent machine operation in realworld environments.

Role & Responsibility

Technical Development

  • Contribute to the design, development, and integration of software for autonomous and semiautonomous machine control systems
  • Implement and maintain software components supporting perception, autonomy, and system behavior
  • Work with ROS / ROS2 to develop robotics middleware, nodes, and data pipelines
  • Integrate and deploy AI / ML models into robotics or embedded systems for runtime use

Perception, AI & Simulation

  • Support development and integration of perception systems (e.g., vision, localization, sensor fusion)
  • Work with camera, lidar, radar, IMU, and other sensors used in robotics and autonomous systems
  • Contribute to simulation environments used for development, testing, and validation of autonomous behaviors
  • Assist with testing, validation, and performance tuning of AI and perception algorithms in both simulation and physical systems

System Integration & Collaboration

  • Collaborate with systems, hardware, validation, and controls engineers to ensure software meets systemlevel requirements
  • Participate in design reviews, code reviews, and technical discussions with senior engineers
  • Debug and resolve issues across software, sensor, and system boundaries

Process & Quality

  • Follow established software development and validation processes
  • Contribute to sprint planning, estimation, and execution of assigned work
  • Develop software with attention to robustness, performance, and maintainability
  • Support regular software releases through testing, documentation, and issue resolution
Job Requirement

Essential

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field
  • 0>10 years of experience in software development, robotics, or embedded systems
  • Working knowledge of robotics software development concepts and tools
  • Hands-on experience with Embedded Linux
  • Handson experience or strong exposure to ROS or ROS2
  • Familiarity with physical AI / Machine Learning in physical systems (e.g., perception, classification, detection)
  • Experience working with or integrating robotics sensors (cameras, lidar, radar, IMU, GPS, etc.)
  • Strong problemsolving skills and ability to work in a multidisciplinary engineering environment
  • Good communication skills and ability to collaborate effectively within a team

Desirable

  • Master's degree in Electrical Engineering, Robotics, or a related field
  • Experience with simulation platforms such as Gazebo, Unreal Engine, Unity, or Omniverse
  • Experience with C++, Python, or similar languages used in robotics and AI systems
  • Experience with GPU or FPGA accelerated embedded hardware such as NVIDIA Jetson, Qualcomm Dragonwing, etc.
  • Interest in autonomous systems, intelligent machines, and Physical AI applications
  • <10% travel

As a part of the Doosan Group, which employs more than 43,000 people in 38 countries worldwide, the company offers its customers products and solutions to help build stronger businesses and communities. Based in Seoul, South Korea, with its North America headquarters in West Fargo, North Dakota, Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping and grounds maintenance equipment, attachments and services. The company is committed to empowering people to accomplish more.

Doosan is an Equal Opportunity Employer, including Individuals with Disabilities and Protected Veterans.  All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263. 

Beware of Fraudulent Job Offers and Solicitations 

Any legitimate job offer will be preceded by an official selection process.

The salary range for this position is  Minimum Pay: $79,663 - Maximum Pay: $97,365 depending on experience and other factors.

We are Doosan Bobcat.  At Doosan Bobcat, you are part of the team that empowers people to accomplish more.  We offer a total rewards package that will offer you salary plus potential of annual bonus based on your performance.  Benefits include medical, dental, vision, prescription, 401(k) match, short & long term disability, health & flexible spending accounts, employee assistance program, life & AD&D insurance, military and jury duty differential pay, tuition reimbursement program, work flex policy, equipment rental program, paid volunteer opportunities, community non-profit donation match, along with paid vacation, holiday, sick, bereavement and parental leave.   

*Disclosure as required by state/local law.

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