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Senior Embedded Machine Learning Jobs in Chesterfield, MI

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

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 ...

General Motors

AI/ML Staff Researcher

Warren, MI · On-site

Lead the development and deployment of advanced AI and machine learning solutions that accelerate ... Exceptional communicator who can engage effectively with executives, senior technical leaders, and ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

As a Senior Associate, you will focus on building meaningful client connections and learning how to ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI · On-site

Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems * Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Lead the design, development, and implementation of advanced machine learning models and algorithms ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Lead the design, development, and implementation of advanced machine learning models and algorithms ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI

$103K - $142K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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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 Jun 15, 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 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 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 are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

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 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 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
Robotics Software Engineer

Robotics Software Engineer

Optimal Inc.

Warren, MI • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:

We are seeking a Robotics Engineer that has Embedded Software Engineering experience in designing and programming embedded systems for data acquisition, signal processing, and algorithm development. The ideal candidate will have a strong background in electrical or computer engineering, hands-on experience with PCB, power, and signal design, and the ability to develop efficient embedded software solutions. Familiarity with robotics frameworks (ROS 2) and machine learning is a plus.

Key Responsibilities

  • Develop embedded software for signal processing, sensor integration, and data acquisition
  • Design and implement algorithms for sensor fusion and real-time processing
  • Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration
  • Debug, test, and optimize embedded software for performance and reliability
  • Support integration of embedded systems with robotics or IoT platforms
  • Document software design, implementation, and testing procedures
  • Stay updated on emerging technologies in embedded systems and machine learning

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field
  • Hands-on experience with embedded programming and algorithm development
  • Hands on experience of PCB, power, and signal design principles
  • Experience with sensor fusion, data acquisition, or real-time processing
  • Familiarity with ROS 2 and machine learning is a plus
  • Strong analytical, problem-solving, and debugging skills
  • Ability to work collaboratively in a fast-paced engineering environment