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Hourly Embedded Machine Learning Jobs in Michigan

Torc Robotics

ML Engineer, II - App Engine

Ann Arbor, MI · On-site

$153K - $183K/yr

Familiarity with machine learning technologies (e.g. PyTorch) * Experience with Linux Bonus Points * Experience developing SDK's for complex embedded systems, especially those featuring GPUs or ...

AJM Packaging Corporation

Machine Operator

Southgate, MI · On-site

$15 - $17.75/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 ...

Comprehensive Logistics

VP of Materials

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 ...

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

As an Artificial Intelligence and Machine Learning Scientist,you'llbe part of a team that is ... Cross-domain fluency: You connect simulation, embedded systems, and data science to deliver ...

Comprehensive Logistics

VP of Materials

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 ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

... that are embedded directly into our software. Key Responsibilities: * End-to-End Product ... Machine Learning Frameworks: Possess deep expertise in modern AI/Machine Learning concepts and ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI

... that are embedded directly into our software. Key Responsibilities: * End-to-End Product ... Machine Learning Frameworks: Possess deep expertise in modern AI/Machine Learning concepts and ...

Cognizant

Software Research Engineer - C++

Warren, MI · On-site

... Python • Machine Learning / AI Preferred : • Experience with Open Radio Access Network ... embedded system development Company : Cognizant is a professional services company that helps ...

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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 Michigan? The most popular types of Embedded Machine Learning jobs in Michigan are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Michigan? For Hourly Embedded Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Michigan look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Hourly Embedded Machine Learning jobs? Cities in Michigan with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
ML Engineer, II - App Engine

ML Engineer, II - App Engine

Torc Robotics

Ann Arbor, MI • On-site

$153K - $183K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You'll Do
  • Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
  • Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
  • Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
  • SDK Feature development to support the creation of Virtual Driver Software
  • Support Virtual Driver Division with their usage of the Application Engine
  • Creation of high-quality code including test case development

What You'll Need to Succeed
  • Bachelor's degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 5+ years experience
  • Experience with Embedded Software Development, especially with a focus on GPUs
  • Experience with TensorRT and CUDA
  • Experience in the development of real-time distributed systems
  • Profound knowledge of C++
  • Familiarity with machine learning technologies (e.g. PyTorch)
  • Experience with Linux

Bonus Points
  • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs.
  • Experience in autonomous robotic or vehicle systems.
  • Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102680
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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