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Hourly Embedded Machine Learning Jobs in Michigan

Whisker

Director of Software Engineering

Auburn Hills, MI

$239.40K/yr

... embedded systems, mobile apps, cloud infrastructure, Machine Learning engineering capabilities, product ideation and management, and the growth and management of our evolving team to ensure we're ...

Whisker

Director of Software Engineering

Auburn Hills, MI · On-site

$239.40K/yr

... embedded systems, mobile apps, cloud infrastructure, Machine Learning engineering capabilities, product ideation and management, and the growth and management of our evolving team to ensure we're ...

Diverse Lynx

AI Solution Architect

Troy, MI · On-site +1

$59 - $77.75/hr

... Deeply embedded with our most strategic platform customers, serving as their technical thought ... R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

$132.40K - $158.90K/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 ...

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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 Audio Signal Processing

Software Research Audio Signal Processing

Lorven Technologies

Warren, MI • On-site

$192.10K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Software Research - Audio Signal Processing
Location: Onsite. Warren Park, MI
What you'll be doing:
This project will research software methods for audio detection and signal processing by leveraging 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.
• Project management skill that will ensure timely completion of quality deliverables, proactive time response and capable to properly assess and communicate ahead of time possible bottle necks or delays in tasks.
• In-depth knowledge and experience in real-time application and software development such as hardware-in-the-loop instrumentation and experiments, rapid prototyping system design using Matlab/Simulink, Python, Android applications and GM's ULTIFI platform.
• Very familiar with automotive communications bus specifications and protocols (OBD-II, CAN, Ethernet, Serial, etc.), appropriate test equipment, and computer-based design tools.
• Ability to read, interpret arxml files, integrate the CAN specifications in RTI environment to interface with other vehicle components.
• Ability to write and compile embedded C and Python code
• Knowledge in database systems (i.e. SQL, Oracle)
• Deep knowledge in communications protocol software tools from Vector, Intrepid and Dspace.
• Deep Knowledge in sound processing and general signal processing concepts
• Deep knowledge in ML/AI concepts including SVM and NN
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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