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Hourly Embedded Machine Learning Jobs in Troy, MI

Whisker

Director of Software Engineering

Auburn Hills, MI · On-site

$239K/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

$239K/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 ...

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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 Jun 14, 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 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 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
Staff Mapping and Navigation Engineer

Staff Mapping and Navigation Engineer

Lucid Motors

Southfield, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are seeking a highly motivated and skilled Mapping and Navigation Engineer with a strong focus on machine learning to join our growing team. In this role, you will be responsible for developing and implementing cutting-edge mapping and navigation solutions for ADAS. You will work on challenging problems related to Simultaneous Localization and Mapping (SLAM), state estimation, and optimization, leveraging the power of machine learning to achieve robust and accurate performance in complex environments.

Responsibilities:

- Design, develop, and implement advanced mapping and localization algorithms, including SLAM, visual odometry, and sensor fusion.
- Research and apply machine learning techniques to enhance the performance and robustness of mapping and localization systems. This may include deep learning for feature extraction, place recognition, or map understanding.
- Develop and optimize state estimation algorithms, such as Kalman filters, particle filters, and factor graphs, for accurate and reliable pose estimation.
- Implement and evaluate optimization techniques for map building and localization, including bundle adjustment and graph optimization.
- Work with various sensor data, including lidar, cameras, IMUs, WSS, and GPS, to create robust and accurate maps and localization systems.
- Develop and maintain software in C++ and/or Python.
- Collaborate with other engineers to integrate mapping and localization solutions into larger systems.
- Participate in code reviews and contribute to improving software quality.
- Stay up-to-date with the latest research and advancements in mapping, localization, and machine learning.

Qualifications:

  • 7+ years of full-time engineering experience (not including internships or co-ops).
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field with a focus on mapping, localization, or machine learning.
  • Strong understanding of fundamental concepts in SLAM, state estimation, optimization, and sensor fusion.
  • Proven experience in developing and implementing mapping and localization algorithms.
  • Proficiency in machine learning techniques and experience applying them to mapping and localization problems.
  • Strong programming skills in C++, Python is a nice to have.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Excellent communication and presentation skills.

Bonus Points:

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Experience with specific sensor modalities (e.g., lidar, cameras, IMUs).
  • Experience with real-time embedded systems.
  • Contributions to open-source projects related to mapping and localization.
  • Publications in top-tier conferences or journals.
  • Experience with robotics software frameworks (e.g., ROS) is a plus.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 
 

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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