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Senior Embedded Machine Learning Jobs in Mount Clemens, MI

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

AI/ML Senior Researcher - Smart Manufacturing Systems Research Group Who We Are The Materials ... Lead technical work across a broad set of AI domains, including classical machine learning, deep ...

General Motors

AI/ML Senior Researcher

Warren, MI

$92K - $117K/yr

AI/ML Senior Researcher - Smart Manufacturing Systems Research Group Who We Are The Materials ... Lead technical work across a broad set of AI domains, including classical machine learning, deep ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$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 ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

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 ...

Pwc

CTIO - AI Engineer- Senior Manager

Detroit, MI · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

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 ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Mount Clemens, MI

Senior Embedded Machine Learning information

See Mount Clemens, MI salary details

$70.7K

$135.6K

$181.2K

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 Mount Clemens, MI is $135,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $152,200.00 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 Mount Clemens, MI are hiring for Senior Embedded Machine Learning jobs?

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

Senior Embedded Machine Learning jobs near you

(IoT) Embedded Software Developer

Avani Technology Solutions, Inc.

Detroit, MI • On-site

Contractor

Re-posted 28 days ago

Job description

As a Software Developer in SDV (Software Defined Vehicle), your responsibilities include understanding and implementation of the use cases, software design execution and software verification (unit testing/ software integration testing, etc.). Software developer will develop vehicle abstraction layer and feature applications for Software Defined Vehicles (SDV). We particularly focus utilizing modern software techniques to design optimized software in service-oriented architecture (SOA) based on model-based system design. This includes the following: • Supply common solutions across all GM in-house controllers and cloud/edge • Document requirements for design solutions and link them to test cases that can demonstrate software functionality • Utilize automated test tools in build environments, benches, and vehicles to verify functionality at the Function, Controller and System level • Coordinate and collaborate with departments outside engineering, such as IT, Systems & Safety Engineering, Electrical Architecture, Calibration and Vehicle Performance Basic Qualifications: • Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering or related technical degree • Minimum of 2 years of experience with proven technical and professional skills in Android and related software design, development, and testing • Designing and developing Apps, services using SDK for Android OS for embedded systems and Android Framework for Development. • Designing and developing apps, services using multiple protocols - webRTC/ WebSocket/ GRPC, protobuffer/ MQTT, DDS etc., • Design and Develop apps, services for transferring data using different protocols. • Design and Develop applications using SOA Framework. Excellent knowledge of Microservices/Event driven Architecture. • Develop solutions that leverages telemetry/message queues/events • Knowledge in C++ programming, Java, Kotlin • Knowledge in Big Data solutions - including but not limited to Kafka/pulsar/Cassandra and file storage solutions like Amazon S3. • Develop and maintain mobile CI/CD pipelines, and push notification services • Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization • Emerging partnership and collaboration skills showing ability to learn from and share knowledge with co-workers in a fast-paced environment • High level of integrity, ability to deal with ambiguity, take initiative/self-directed • Consistent demonstration of innovative thinking that is customer-centric Preferred Experience: • Master's degree in a related technical field • Experience with C++, python, rust, Kotlin and java development • Experience with GIT/source code management, CI/CD development, open source SW development/contributor • Experience with microcontroller architecture, electronic control systems, embedded system development • Experience with network engineering, telecommunications, network development and testing • Experience with edge, cloud, IoT technologies, operating systems, OS internals, OS design, virtualization technologies, containerization/container development • Knowledge of data science, data analytic tools, machine learning, artificial intelligence (AI) • Knowledge of AUTOSAR standards and methodology • Knowledge and experience with CAN, LIN or Ethernet communications protocol
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : This person can work remote.

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