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Hourly Embedded Machine Learning Jobs in Troy, MI

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

Urban Science

Senior Data Scientist

Detroit, MI · On-site

Collaborates with internal clients to collect requirements and specifications in order to build complex machine learning analyses that are embedded into corporate software and processes. * Uses SQL ...

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 ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Troy, MI

Hourly Embedded Machine Learning information

See Troy, MI salary details

$66.3K

$145.4K

$164.9K

How much do hourly embedded machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for hourly embedded machine learning in Troy, MI is $145,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $164,000.00 per year, depending on experience, location, and employer.

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.

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Hourly Embedded Machine Learning jobs near you
Software Research - AI and Machine Learning

Software Research - AI and Machine Learning

Ruri Software Technologies LLC

Saint Clair Shores, MI • On-site

$185K/yr

Full-time

Posted 24 days ago

Job description

Job Title :Software Research - AI and Machine Learning
Location: Fully Onsite. Warren, MI
Job Description:
This project will investigate methods for efficiently using AI and Machine Learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems.
What you need for this position:
• MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar.
• Expertise with Android Automotive OS, AOSP, Google Automotive Services SDSK, Kotlin, Java and basic C++
• Expertise in Machine Learning ML / Large Language Models LLM
• Expertise with Embedded Systems Architecture and Design
• Gather feedback for future refinements and potential enhancements.
Years of Experience: 7.00 Years of Experience
Regards
Surya
Surya@rurisoft.com

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