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Embedded Machine Learning Engineer Jobs in Folkston, GA

Specialized Analytics Senior Analyst

Jacksonville, FL · On-site

$79K - $100K/yr

Master's Degree or PhD preferred. 3+ years in data science, machine learning, or advanced analytics. Strong Technical Skills: Proficiency in programming languages such as Python, R, or SQL for data ...

Civil Engineer

Jacksonville, FL · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Communicate complex analytical ...

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Communicate complex analytical ...

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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

Showing results 21-40

Embedded Machine Learning Engineer information

See Folkston, GA salary details

$66.3K

$145.3K

$164.8K

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

As of Sep 10, 2026, the average yearly pay for embedded machine learning engineer in Folkston, GA is $145,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $163,900.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What cities near Folkston, GA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Folkston, GA with the most Embedded Machine Learning Engineer job openings:

Information Technology_USA - USA_Engineer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Contractor

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Local to Cary NC only!Role: Python Developers with AI knowledgeJD: Python Developers with AI knowledgeTech StackDevelopment & Delivery Methods• Agile (Scaled Agile Framework)DevOps and CI/CD• Containers (Azure Kubernetes)• CI/CD (Azure DevOps, Git, SonarQube)• Scheduling Tools (Azure Scheduler)• AI orchestrationDevelopment Frameworks and Languages:• Python• AI: Machine learning, deep learning, neural networks, NLP, LLM's• App: Microservices (Java, Spring boot)• UI & Web (ReactJS, HTML, Javascript)Data Management• Database (SQL Server, Cosmos DB)• APIs (Kong, APIC, APIM)Development Tools & Platforms:• IDE (GitHub Copilot, VSCODE, IntelliJ)• Cloud Platform (Microsoft Azure)Security and Monitoring:• Secure Coding (Veracode)• Authentication/Authorization (CA SiteMinder, MS Entra, PingOne)• Log & Monitoring (Azure AppInsights, Elastic, Role Descriptions: AI and AutomationEssential Skills: AI and AutomationDesirable Skills: Keyword: Skills: AI and AutomationExperience Required: 2-4