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Hourly Embedded Machine Learning Jobs in Texas (NOW HIRING)

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Hourly Embedded Machine Learning information

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 popular job titles related to Hourly Embedded Machine Learning jobs in Texas?

For Hourly Embedded Machine Learning jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Hourly Embedded Machine Learning jobs in Texas are:

What cities in Texas are hiring for Hourly Embedded Machine Learning jobs?

Cities in Texas with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Systems Engineering Intern - Machine Learning Expert

Dallas, TX • On-site

Texas Instruments
Semiconductor and Electronic Component Manufacturing • 10K+ employees
Learn more about Texas Instrumentsexternal

Other

Posted 6 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

Job description

Change the world. Love your job.
We are seeking a highly motivated PhD student to join our Generative AI team this fall to work on cutting‑edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state‑of‑the‑art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human‑like decision‑making capabilities.

In this machine learning research engineer intern role, you’ll have the chance to:

  • Research and develop novel LLM architectures and training methods to improve performance and efficiency
  • Explore the application of LLMs in coding generation, optimization, and other areas of interest
  • Collaborate with internal business teams to define and implement AI strategies for our products
  • Develop and maintain large‑scale deep learning systems, incorporating LLMs and other AI techniques
  • Participate in the design and implementation of advanced Agentic LLM system

About Us:

Texas Instruments Incorporated (TI)is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. By employing the world’s brightest minds, TI innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors,tocaringforouremployees,togivingbacktoourcommunitiesanddeveloping great minds. Put your talent to work with us – change the world, love your job!

Kilby Labs, TI’s central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologiesandsolutionsforfuturelargevolumeproductsinafastmovingpace.Theengineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations.

Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real‑world problem‑solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments.

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What Texas Instruments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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