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Senior Embedded Machine Learning Jobs in Detroit, MI

Sunrise Systems Inc

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Automotive Embedded Security Tester (BH ID)_26-04337

Plymouth, MI · On-site

$34 - $39/hr

Implement and manage machine learning systems to analyze real-time data from CAN, Automotive ... embedded systems, IoT devices, or specialized custom hardware. Deep Technical Expertise ...

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives. * Provide technical leadership and mentorship to engineers and data scientists. * Translate business ...

Domino's

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives. * Provide technical leadership and mentorship to engineers and data scientists. * Translate business ...

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Senior Embedded Machine Learning information

See Detroit, MI salary details

$74.7K

$143.3K

$191.6K

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

As of Sep 10, 2026, the average yearly pay for senior embedded machine learning in Detroit, MI is $143,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $160,900.00 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 Detroit, MI are hiring for Senior Embedded Machine Learning jobs?

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

Senior Embedded Machine Learning jobs near you

Data Science and Machine Learning Senior Associate

Dearborn, MI • On-site

Miracle Software Systems, Inc.
IT Services • 1 - 5K employees
Learn more about Miracle Software Systems, Inc.external

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Posted 2 days ago

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Job description

Miracle Software Systems, Inc is looking for Data Science and Machine Learning Senior Associate position at Dearborn, MI. Please find the below Job details.

Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Key Responsibilities:

  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
  • Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
  • Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
  • Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
  • Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required: Data Model, Machine Learning, Data Science
Skills Preferred: Google Cloud Platform, Data Analysis, Python, Artificial Intelligence & Expert Systems

Experience Required: Senior Associate Exp: 5+ years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis o Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization

Miracle Software Systems, Inc. is a Global System Integrator; a Technology Solution Provider headquartered in Novi, MI. Established in 1994, Miracle has over 30 years of history helping Fortune 1000 companies through Business Transformation Initiatives with innovative technology Products and Solutions driven by Data Science and Analytics, Enterprise Cloud, Mobility, Virtual Reality, Digital Experience, Machine Learning, AI, Enterprise Application Integration and more. We are a Premier Partner of IBM and a National Implementation Partner of SAP. Miracle s team spans four continents and includes 2000 IT Professionals working across the globe, our teams run on the core principles of Quality Delivery, Thought Leadership and Affordable Innovation

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