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Hourly Embedded Machine Learning Jobs in Forney, TX

AIIR

Hardware Engineer/ Senior Hardware Engineer

Addison, TX · On-site

$107K - $142K/yr

... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ... Experience with design of electronic control systems including embedded hardware and power ...

BravoTech

Sr AI Developer w/Palantir

Irving, TX · On-site

$112K - $151K/yr

Azure OpenAI and Azure Machine Learning * Generative AI, LLMs, RAG, agents, and copilots * Python and production-grade software development * Data engineering and scalable AI pipelines * MLOps, CI/CD ...

Fanniemae

Principal, AI Solutions

Plano, TX · On-site

This team is embedded with business leaders, rapidly cobuilding solutions, and feeding learnings ... Machine Learning Engineer - Principal 200,000.00 - 269,000.00 JR2676 Qualifications Artificial ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Forney, TX

Hourly Embedded Machine Learning information

See Forney, TX salary details

$63.1K

$138.2K

$156.7K

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

As of Sep 13, 2026, the average yearly pay for hourly embedded machine learning in Forney, TX is $138,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $155,800.00 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.

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Forney, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $138,177 per year, or $66.4 per hour.

Senior Engineer, AI & ML (multiple positions)

Dallas, TX • On-site

Carmax
Automobile Dealers • 10K+ employees
Learn more about Carmaxexternal

$103K - $142K/yr

Full-time

PTO

Re-posted 17 days ago

CarMax rating

7.9

Company rating: 7.9 out of 10

Based on 377 frontline employees who took The Breakroom Quiz

Job description

8117 - Dallas Technology Hub - 5830 Granite Parkway, Plano, Texas, 75024

CarMax, the way your career should be!

 

Summary of Duties:

  • Responsible for providing reliable and scalable machine-learning capabilities across the organization.
  • Partner with Data Scientists to design and produce machine learning models. Processes include testing and monitoring applications and front-end experiences.
  • Convert machine learning models into mission-critical capabilities that drive customer experience.
  • Research and discover new opportunities to shape products, tools, and technologies to improve business performance.

Qualifications:

Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience, the employer will also accept a Bachelor's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Designing and Developing on distributed architectures (microservices or Kubernetes); End-to-end design and development of scalable services for monitoring and product support services; Python programming and coding; Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies; DevOps practices, testing frameworks, and CI/CD pipelines; Object-oriented programing language (C# or Java); Machine-learning and AIaaS; MLOps and industry-standard machine-learning Python libraries; Model Development and Deployment (MLFlow, Azure ML, or Sage Maker); and Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).

About CarMax

At CarMax, we revolutionized the used car buying experience over 30 years ago by introducing transparency and integrity into the process. Our commitment to customer experience, innovation, and community has made us the nation's largest used car retailer. With over 250 store locations and over 30,000 associates, we are proud to have been recognized as one of the Fortune 100 Best Companies to Work For and are committed to helping our communities thrive.

As an associate, you are part of an innovative movement to empower the modern customer and drive progress. Your work fuels change-sparking ideas, overcoming challenges, and shaping what's next. Join us in creating a better future- for our company, our customers, and the communities we call home.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

The annual salary for this position is:

$120,000.00 - $180,000.00

May be eligible for bonus and equity.

Benefits:

Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.

Associates that are considered full-time hourly or commission/incentive eligible:

  • To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
  • For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.

Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.

For more details about benefits, please visit our CarMax Benefits website.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

What CarMax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About CarMax

Sourced by ZipRecruiter

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Industry

Automobile dealers and finance and insurance

Company size

10,000+ Employees

Headquarters location

Henrico, VA, US

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