ZipRecruiter

Log In

1

Senior Embedded Machine Learning Jobs in Dearborn, MI

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

Mentor senior engineers and shape the long-term technical direction across Autonomy. About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the ...

previous page

Showing results 41-60

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

Senior Embedded Machine Learning information

See Dearborn, MI salary details

$69.4K

$133K

$177.8K

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

As of Aug 23, 2026, the average yearly pay for senior embedded machine learning in Dearborn, MI is $133,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $149,300.00 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 Dearborn, MI are hiring for Senior Embedded Machine Learning jobs?

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

Senior Embedded Machine Learning jobs near you

Senior Data Scientist - Predictive Maintenance & Vehicle Analytics

G-TECH

Dearborn, MI • On-site

Other

Medical, Dental, Retirement

Posted 9 days ago

Job description

Why work at OpTech/GTech? OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today! Job Summary We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications. Key Responsibilities Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data. Build machine learning and physics-informed models to analyze component health and degradation. Process and analyze large datasets using Python, SQL, and cloud platforms. Develop fault detection and anomaly detection solutions for vehicle systems. Perform modeling and simulation using MATLAB/Simulink. Collaborate with cross-functional teams to deploy solutions into production vehicles. Support embedded software implementation in C++ environments. Required Skills Python SQL C++ Data Science & Machine Learning MATLAB / Simulink Algorithms & Statistical Analysis Google Cloud Platform (GCP) or other cloud environments Signal Processing (DSP) Predictive Analytics & Prognostics Required Qualifications Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field. 4+ years of experience applying statistical and machine learning techniques. 3+ years of experience with Python and SQL. Experience with predictive modeling, sensor data analysis, and vehicle diagnostics. Strong analytical and problem-solving skills. Preferred Qualifications PhD in a related technical field. Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM). Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems. Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference. By submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications. OpTech/GTech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
GTech logo

About GTech

Sourced by ZipRecruiter

Industry

Engineering professional services

Company size

501 - 1,000 Employees

Headquarters location

Oak Ridge North, TX, US

Year founded

1989

View All GTech Jobs

Apply