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Hourly Embedded Machine Learning Jobs in Raleigh, NC

NextDeavor Inc.

Embedded Firmware Engineer

Morrisville, NC · On-site

$140K - $150K/yr

Embedded Firmware Engineer Full-time Morrisville, NC, US Exclusive confidential search -- details ... Interest and experience with machine-learning frameworks (e.g., TensorFlow) and embedding models on ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) Experience building machine learning based systems Mobile and / or embedded ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

ASR, NL, TTS, Voice Assistants, etc) Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) Experience building machine learning based systems Mobile and / or embedded ...

NextDeavor Inc.

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

At least 2 years of experience with machine-learning frameworks such as TensorFlow and Keras * At least 2 years of experience in Python * At least 1 year of experience in C, Rust, or other embedded ...

Senzit

Firmware Engineer

Raleigh, NC · On-site

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Senzit

Firmware Engineer

Raleigh, NC

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Experience with real-time Linux or embedded environments. * Experience applying machine learning frameworks (e.g., PyTorch, TensorFlow) to RF data. * Prior technical leadership, Chief Engineer, or ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Experience with real-time Linux or embedded environments. * Experience applying machine learning frameworks (e.g., PyTorch, TensorFlow) to RF data. * Prior technical leadership, Chief Engineer, or ...

CoVar

Signal Processing Engineer

Durham, NC

RF signal processing, electronic warfare, optimization, array processing, machine learning ... Proficiency in C/C++ for embedded or real-time applications. * Active U.S. security clearance.

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Raleigh, NC

Hourly Embedded Machine Learning information

See Raleigh, NC salary details

$68K

$149.1K

$169.1K

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

As of Jun 18, 2026, the average yearly pay for hourly embedded machine learning in Raleigh, NC is $149,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Raleigh, NC? The most popular types of Embedded Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Raleigh, NC? For Hourly Embedded Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Raleigh, NC are:
Hourly Embedded Machine Learning jobs near you
AIML - Staff Machine Learning Engineer

AIML - Staff Machine Learning Engineer

Apple

Cary, NC • On-site

Full-time

Posted 29 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Would you like to play a part in the next revolution in human-computer interaction? Come build the future with the Apple Knowledge & Information team. Help lead the creation of a truly personalized user experience, one that adapts to the unique needs and habits of each individual.
The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple's products. Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight.
8 years of professional software experienceBS in computer science or related fields Experience leading software engineering teams and / or projectsExperience designing and shipping novel systems architecturesPassion for great productsExceptional software engineering skillsAbility to identify similar software solutions and generalize them into libraries / frameworks / platformsAbility to work in a highly collaborative environmentAbility and desire to lead a small teams of high impact engineers
5+ years professional experience developing for Apple's platforms Experience building voice computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc)Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable)Experience building machine learning based systemsMobile and / or embedded development experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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