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Hourly Embedded Machine Learning Jobs in Michigan

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 ...

SynergisticIT

AI and Machine Learning Engineer

Detroit, MI

$104K - $125K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning ... Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 ...

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 ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning technologies (e.g. PyTorch) • Experience with Linux Preferred : • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs. • ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning technologies (e.g. PyTorch) • Experience with Linux Preferred : • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs. • ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... machine learning technologies (e.g. PyTorch) • Experience with Linux Preferred : • Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs. • ...

Latitude AI

$179K - $268K/yr

When you join the Latitude team, you'll work alongside leading experts across machine learning and ... The Onboard Platforms team is an embedded software team responsible for the development and ...

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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
Software Research - AI and Machine Learning

Software Research - AI and Machine Learning

ICONMA

Warren, MI

$192K/yr

Other

Medical

Posted 13 days ago

Job description

Software Research – AI and Machine Learning

Our client, a IT Services and Consulting company, is looking for a Software Research – AI and Machine Learning for their Warren, MI location.

Responsibilities:
  • 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.
  • Gather feedback for future refinements and potential enhancements.
Requirements:
  • 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
  • Years of Experience: 7.00 Years of Experience
Skills:
  • Analytics Machine Learning Required Importance Experience
  • Areas of Expertise Automotive Yes 1
Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities
ICONMA logo

About ICONMA

Sourced by ZipRecruiter

ICONMA is an established and stable organization building lasting relationships with clients and consultants. We are unique in our ability to provide a full spectrum of Staffing Services and Solutions including: Staff Augmentation (Contract, Contract-to-Hire, Direct Hire), Bulk Buy Staff Augmentation, Offshore Staff Augmentation, Payroll Services and Consulting (Project Delivery, SOW). At ICONMA, our goal is to become a one-stop destination for our customers' staffing and outsourcing needs. Our vision is to be a preeminent provider of innovative business solutions, leveraging key technologies to improve our customers' competitiveness, growth, and profitability. ICONMA focuses on a culture that fosters collaboration and team work. We recognize that employees are the foundation of any company, and we encourage our employees to be leaders while providing continuous training and growth opportunities. ICONMA encourages hard work, determination and dedication in a professional environment. ICONMA promotes a healthy work-life balance, and understands this is a key component to our employee's and company's success.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Troy, MI, US

Year founded

2000

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