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Hourly Embedded Machine Learning Jobs in Troy, MI

Worky

Software Engineer

Auburn Hills, MI · On-site

... Embedded Systems. The position will contribute to the design, implementation, testing, and ... and machine learning applications. * Contribute to Physical AI projects involving robotics ...

Comprehensive Logistics

Quality Manager

Detroit, MI · On-site

CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... More than a logistics provider, CLI is a true embedded partner - ensuring your supply chain moves ...

Whisker

Firmware Engineer

Auburn Hills, MI · On-site

What You'll Do : The Lead Engineer drives embedded development of advanced motor control and ... Experience conceptualizing, developing, and deploying Machine Learning (ML) and Computer Vision (CV ...

Whisker

Firmware Engineer

Auburn Hills, MI · On-site

What You'll Do : The Lead Engineer drives embedded development of advanced motor control and ... Experience conceptualizing, developing, and deploying Machine Learning (ML) and Computer Vision (CV ...

Comprehensive Logistics

Quality Manager

Detroit, MI · On-site

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

Comprehensive Logistics

Manager

Detroit, MI · On-site

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

Bosch Group

Technical Lead- AI Cockpit

Plymouth, MI

Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. * Experience integrating AI and ...

Bosch Group

Technical Lead- AI Cockpit

Plymouth, MI · On-site

Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. * Experience integrating AI and ...

Bosch Group

Technical Lead- AI Cockpit

Plymouth, MI · On-site

Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. * Experience integrating AI and ...

Bosch Group

Technical Lead- AI Cockpit

Plymouth, MI · On-site

Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms. * Experience integrating AI and ...

AJM Packaging Corporation

Machine Technician

Detroit, MI · On-site

$18.50 - $24/hr

... has not wavered and is deeply embedded in its DNA. So, too, is the founding brothers ... learning and continuous improvement. There are no barriers to impede your progress here and no ...

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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 Sep 15, 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 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 Troy, MI?

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

What job categories do people searching Hourly Embedded Machine Learning jobs in Troy, MI look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in Troy, MI are:

What cities near Troy, MI are hiring for Hourly Embedded Machine Learning jobs?

Cities near Troy, MI with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you

Software Engineer

Auburn Hills, MI • On-site

Worky
See more jobs at Workyexternal

Other

Posted 27 days ago

Job description

Description

Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.

  • Develop software applications and services using modern programming languages and development frameworks.
  • Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications.
  • Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications.
  • Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Support embedded software development activities for automotive and edge-computing systems when required.
  • Participate in software architecture design, coding, unit testing, debugging, and validation activities.
  • Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions.
  • Develop APIs, data processing pipelines, and software tools to support engineering projects.
  • Participate in code reviews and ensure compliance with software quality standards.
  • Document software designs, technical solutions, and development activities.
  • Stay current with emerging technologies in AI, cloud computing, and software engineering.

Requirements

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • 0-3 years of software development experience.
  • Academic, internship, capstone project, or personal project experience in software development is acceptable.
  • Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript.
  • Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
  • Strong analytical, problem-solving, and communication skills.
  • Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments.
  • Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming.
  • Knowledge of AI/ML concepts and interest in Generative AI technologies.
  • Familiarity with cloud platforms (Azure preferred).
  • Understanding of software development lifecycle and Agile methodologies.
  • Experience with Git or similar version control tools.
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