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Senior Embedded Machine Learning Jobs in Chesterfield, MI

Aampower

Senior Industrial Engineer

Detroit, MI · Hybrid

$42.25 - $58/hr

Job Posting Title Senior Industrial Engineer Summary Shape the Future of Smart Manufacturing Dauch ... Apply AI, machine learning, and data analytics to identify opportunities and improve manufacturing ...

Stellantis

AI Validation Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... Bachelor's degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer Location: Warren, MI (Onsite from Day 1) Job Type: W2 Contract Main ... Required Qualifications: · Minimum 3 years of experience in data engineering, machine learning ...

Worky

Software Engineer

Auburn Hills, MI · On-site

$70 - $100/hr

... Embedded Systems. The position will contribute to the design, implementation, testing, and ... and machine learning applications. * Contribute to Physical AI projects involving robotics ...

New

Pwc

Oracle Cloud Finance Consultant - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... RPA, Machine Learning, and Analytics. As a Senior Manager, you will lead large projects and ... innovate processes, focusing on achieving results and maintaining operational excellence. You will ...

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Showing results 41-60

All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Chesterfield, MI

Senior Embedded Machine Learning information

See Chesterfield, MI salary details

$70.8K

$135.8K

$181.5K

How much do senior embedded machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior embedded machine learning in Chesterfield, MI is $135,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $152,400.00 per year, depending on experience, location, and employer.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities near Chesterfield, MI are hiring for Senior Embedded Machine Learning jobs?

Cities near Chesterfield, MI with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Industrial Engineer

Aampower

Detroit, MI • Hybrid

$42.25 - $58/hr

Full-time

Re-posted 20 days ago

Job description

Job Posting Title

Senior Industrial Engineer

Job Description Summary

Shape the Future of Smart Manufacturing
Dauch is seeking a forward-thinking Senior Industrial Engineer to drive operational excellence through process optimization, advanced analytics, and AI-enabled solutions. In this hybrid Detroit-based role, you'll lead initiatives that improve productivity, reduce waste, and support the digital transformation of our manufacturing operations.
Why Join Us?
Join a team that's investing in the future of manufacturing. You'll have the opportunity to apply emerging technologies, influence strategic decisions, and help build smarter, more efficient operations.
Ready to transform manufacturing through AI and innovation? Apply today.

Job Description:

  • Lead process improvement, labor optimization, and productivity initiatives.
  • Develop capacity, headcount, and cycle-time models to support operational decision-making.
  • Apply AI, machine learning, and data analytics to identify opportunities and improve manufacturing performance.
  • Partner with Operations, Engineering, and IT teams to implement Industry 4.0 and smart manufacturing solutions.
  • Manage projects, influence stakeholders, and present recommendations to leadership.
  • All other duties as assigned.

Required Skills and Education

  • Bachelor's degree in Industrial Engineering or related field.
  • 5+ years of industrial engineering experience in manufacturing, preferably automotive.
  • Experience with process improvement and cost-saving initiatives.
  • Strong analytical and project leadership skills.
  • Experience using AI, machine learning, advanced analytics, Power BI, Python, SQL, or related digital technologies is highly preferred.

About Dauch:

Dauch Corporation is a premier Driveline and Metal Forming supplier serving the global automotive industry with a powertrain-agnostic product portfolio that supports electric, hybrid, and internal combustion vehicles. The company is headquartered in Detroit, MI, with operations that span 24 countries and more than 175 locations. Formed through the acquisition of Dowlais Group plc and its subsidiaries - GKN Automotive and GKN Powder Metallurgy, Dauch unites deep engineering roots with global manufacturing capabilities and an entrepreneurial spirit to move mobility forward. Visit www.dauch.com to learn more.


Dauch will not discriminate against any Associate or applicant for employment because of age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. Dauch will take affirmative action to ensure that applicants are employed, and that Associates are treated equally during employment, without regard to their age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. For the Disabled Job Seeker: We offer reasonable accommodations for qualified disabled individuals who are applicants for employment. To request assistance or accommodations, please e-mail TalentAcquisition@aam.com. Dauch is an equal opportunity/affirmative action employer.

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