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Hourly Embedded Machine Learning Jobs in Michigan

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 ...

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 ...

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 ...

... 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 ...

... 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 ...

... 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 cities in Michigan are hiring for Hourly Embedded Machine Learning jobs? Cities in Michigan with the most Hourly Embedded Machine Learning job openings:
DAT In-House Perception Algorithm Engineer

DAT In-House Perception Algorithm Engineer

Ford Motor Company

Dearborn, MI • On-site

$90K - $188K/yr

Full-time

Medical, Dental, Life, PTO

Posted 26 days ago


Job description


At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you'll work to deliver breakthrough products and services that delight our customers. We're seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!
Responsibilities
What you'll be able to do:
DAT In-House Perception Algorithm Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the aforementioned worksite. Contribute to a team responsible for the embedded software and algorithms for DAT sensing applications on the current/future DAT ECU. Develop and test perception algorithms and applications such as computer vision, object detection, and Artificial Intelligence and Machine Learning. Assist the perception software developers in deploying applications on target hardware. Collaborate with Research and Advanced Engineering teams, DAT feature owners, other algorithm and function owners, and software architects to design, develop, and deliver holistic DAT sensing functions. Support the development/maintenance of test environments and simulation tools to support AI/ML methods within and out of the immediate team. Help the team and feature owners understand and break down the performance of the perception systems and applications via analytical methods and help with designing sign-off key performance indicators. Conduct and help validation team with root cause analysis activities. Work with the Ford Hardware in the Loop team to establish procedures to reduce dependence on vehicle level testing. Understand Feature requirements and FMEAs to develop and implement software and algorithm requirements. Be part of a team that delivers with Agile methodologies using established software development processes. Develop/support high quality documentation for perception algorithms and their design, training, validation, and testing.
Qualifications
You'll have...
Bachelor's degree or foreign equivalent in Robotics, Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering or related field and 2 years of experience in the job offered or related occupation. 2 years of experience with each of the following skills is required: 1. Develop and integrate ADAS algorithms in C++ for embedded systems to ensure robust, real-time, and efficient performance. 2. Apply machine learning and computer vision techniques to design perception-focused ADAS solutions utilizing sensors such as LiDAR, Radar, Ultrasonic (USS), and Camera. 3. Conduct ADAS vehicle testing, including data logging, bench testing, and embedded board validation, ensuring algorithm reliability across diverse driving conditions. 4. Perform data processing, analysis, and validation to support continuous improvement of perception and control algorithms. 5. Adhere to MISRA C++ coding standards and maintain high levels of code quality, code coverage, and unit testing using the Google Test framework. 6. Implement CI/CD pipelines to automate builds, testing, and deployment for embedded and software-in-the-loop environments. 7. Utilize Git for version control and manage collaborative development through pull request workflows and peer code reviews. 8. Develop and maintain test matrices and performance KPIs to track algorithm accuracy, efficiency, and system-level integration results. 9. Utilize build tools such as CMake, ensuring reproducible builds and cross-platform integration. 10. Identify, diagnose, and resolve production-level software defects while continuously improving code performance and maintainability. 11. Plan, estimate, and track software development tasks in an agile environment using JIRA, driving iterative improvements and sprint deliverables.
We are offering a salary of $90,000.00 - $188,557.56/yr.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982