ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in Troy, MI

AJM Packaging Corporation

Machine Technician

Detroit, MI · On-site

$18.50 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work in cross-functional Agile teams spanning AI/ML, embedded software, and system integration disciplines. Basic Qualifications: * Bachelor's degree in computer science, Machine Learning, Data ...

OneMagnify

Analytics and Insights Lead

Detroit, MI · On-site

... as machine learning, generative AI, and embedded AI agents to improve marketing efficiency. • Ensure accuracy, scalability, and repeatability in all analytics solutions. • Work closely with ...

AJM Packaging Corporation

Machinist

Detroit, MI · On-site

$20.25 - $27.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... maintaining machine shop inventory to ensure optimal performance. * Measure, examine and test ... has not wavered and is deeply embedded in its DNA. So, too, is the founding brothers ...

previous page

Showing results 41-60

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 Aug 17, 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

Manager - Deep Learning and Driving Behavior Modeling

Astemo

Farmington Hills, MI

Full-time

Re-posted 26 days ago

Job description

Company Name:

ASTEMO AMERICAS, INC.

Job Family:

Engineering

Job Description:

Summary:

Astemo Americas, Inc. is looking for M.Sc./Ph.D. degree holders in Mechanical/Electrical/Computer Science/Robotics or related engineering field to join our Advanced Technology Development Department as a Manager to contribute for the development of advanced deep learning techniques for driving behavior modeling to bring new values in the areas of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD). The position will require sound knowledge on image processing, Generative AI, Vision Language Model, sensors, and algorithms used in AD/ADAS. The position requires the manager to develop and lead an advanced AI team, plan and execute advanced development projects, manage resources and budget, etc. together with good communication and written skills.

Job Duties:

  • The candidate will work in close collaboration with teams in Japan and other departments in the USA
  • Ideate new concepts, create plan and execute strategies, make test and validation scenarios, design experimental and analytical processes to bring new values in ADAS and automated driving systems
  • The candidate should have the ability to perform complex system analysis with a high level of analytical ability
  • The candidate should have the ability to troubleshoot complex issues in a timely and effective manner
  • Publish technical papers, patents, and present Astemo's innovative technologies at conferences and seminars.

Qualifications:

  • Knowledge of Automated Driving (AD) System is required
  • Experience in developing large foundation models/vision language models is preferred
  • Experience in developing end-to-end architecture for AD/robotics is preferred
  • Strong programming skills in C++ and/or Python are required
  • Proficiency with deep learning frameworks is required
  • Experience with AD/Advanced Driver Assistance Systems (ADAS)/autonomous robotics systems development using multi sensor fusion and embedded system is a plus
  • Knowledge of cloud computing is a plus
  • Experience in Human Machine Interface system development is a plus
  • Ability to work independently with minimal direction is required

Education: MSc degree in mechanical/electrical/computer science/Robotics or in a related engineering field. PhD is preferred

Experience: Minimum of 6+ years of relevant industrial experience is required

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: Leading, building and mentoring the efforts of engineers who are responsible for sub-project activities.

Working conditions:

Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.

Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.

At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.

If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

Apply