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Hourly Embedded Machine Learning Jobs in Raleigh, NC

Kitware

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Kitware

Senior Software Architect

Carrboro, NC

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Kitware

Senior Software Architect

Carrboro, NC

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Kitware

Senior Software Architect

Carrboro, NC · On-site

$140 - $190/hr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... Machine Learning Operations (MLOps) pathway. This pathway will bridge ongoing work in computer vision and embedded software within PSI, as well as data infrastructure efforts being developed in ...

Deloitte

Cyber Manager - AI SOC

Raleigh, NC

$107K - $145K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Firebirds Wood Fired Grill

Dish Machine Operator

Raleigh, NC · On-site

$11.75 - $14.50/hr

Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ... Competitive hourly wage * New store openings- we are growing and with growth comes opportunities ...

Firebirds Wood Fired Grill

Dish Machine Operator

Durham, NC · On-site

$11.25 - $14.25/hr

Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ... Competitive hourly wage * New store openings- we are growing and with growth comes opportunities ...

Teledyne

Research Scientist

Durham, NC

... learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The ... Design and implement advanced algorithms on PC, GPU, and embedded architectures * Perform ...

Firebirds Wood Fired Grill

Dish Machine Operator

Durham, NC · On-site

$11.25 - $14.25/hr

Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ... Competitive hourly wage * New store openings- we are growing and with growth comes opportunities ...

Firebirds Wood Fired Grill

Dish Machine Operator

Durham, NC

$11.25 - $14.25/hr

Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ... Competitive hourly wage * New store openings-- we are growing and with growth comes opportunities ...

Firebirds Wood Fired Grill

Dish Machine Operator

Raleigh, NC · On-site

$11.75 - $14.50/hr

Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ... Competitive hourly wage * New store openings-- we are growing and with growth comes opportunities ...

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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 Aug 19, 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 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.

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 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.

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

Founding Chief Technology Officer (CTO)

Modern Government Solutions

Raleigh, NC • On-site

Other

Posted 11 days ago

Job description

Role Title: Founding Chief Technology Officer
Location: Remote-first (U.S.)
Job Type: Full-time
Clearance Required: U.S. Citizenship & Top Secret clearance eligibility required
Modern Government Solutions (MGS) is conducting a confidential executive search on behalf of a venture-backed defense technology partner seeking its Founding Chief Technology Officer. The client's identity is withheld at this stage and will be shared with qualified, pre-screened candidates under a non-disclosure agreement. All inquiries are handled discreetly through MGS.
About the Opportunity
Our client is an early-stage, venture-backed company building advanced hardware, sensing, and autonomous systems for defense and national security customers. In a short time the company has moved from concept to field-validated technology, secured early government agreements, and attracted institutional investment. The next phase is about converting proven prototypes into rugged, mission-ready products at production scale, and that mission defines this role.
This is a founding executive seat with meaningful equity and outsized influence over the company's technical direction. It is a builder's role, not a research role: you will lead the teams that design, prototype, manufacture, deploy, and continuously improve products that protect the people who use them.
What You Will Own
  • Technology vision & roadmap. Partner with the CEO and COO to translate customer and operational needs into a multi-year technology strategy, and build the engineering organization to deliver it.
  • AI/ML and edge AI. Lead model development and MLOps for inference that runs on low-power hardware, offline and in degraded environments; not cloud-dependent enterprise AI.
  • Robotics & autonomy. Direct development of autonomous and embedded systems that operate in GPS-denied and communications-denied conditions.
  • Hardware & embedded engineering. Oversee electrical, mechanical, embedded, and systems engineering through ruggedization and environmental (MIL-STD-class) testing.
  • Prototype-to-production. Own the transition from prototype to scalable manufacturing; design for manufacturability, supply-chain qualification, quality and production-test systems, and production scale-up.
  • Engineering leadership & culture. Recruit and develop an elite, multidisciplinary engineering team, and set an execution culture built on speed, ownership, and mission focus.

What We're Looking For
  • 15+ years of hands-on engineering leadership, including taking hardware products from concept through production. Military or aerospace systems experience is a strong plus.
  • Deep, current expertise across machine learning and edge AI, robotics or autonomous systems, and embedded platforms; a leader equally at home in the machine shop and the boardroom.
  • A track record of scaling: standing up manufacturing or contract-manufacturing at volume, and building an engineering organization from a handful of people to twenty-plus who would follow you again.
  • Builder's temperament: comfortable making decisions with incomplete information, hands-on in early-stage development, and driven by mission over title.
  • S. citizenship required, with the ability to obtain and maintain a Top Secret clearance (TS/SCI eligibility preferred; an active clearance is a plus), due to federal contract and export-control (ITAR) obligations.
  • Advanced degree in engineering, computer science, robotics, physics, or a related field preferred - though a record of shipped products outweighs academic credentials.

Location, Compensation & Eligibility
  • Location: Remote-first within the U.S., with periodic travel to customer sites and company engagements. Openness to relocation over a multi-year horizon is expected as the company scales its operations.
  • Compensation: Competitive executive salary, meaningful founding equity, performance-based incentives, and comprehensive benefits.
  • Eligibility: U.S. citizenship is required. The client is an equal-opportunity employer; employment decisions are made on the basis of merit and mission fit.

How to Apply
Qualified candidates and referrals may apply in confidence through the Modern Government Solutions careers page or by contacting the MGS recruiting team directly. Pre-screened candidates will be introduced to the client and provided full role details under NDA.

Apply