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Embedded Machine Learning Jobs in Dallas, TX (NOW HIRING)

Actalent

Embedded Triage Engineer

Fort Worth, TX

Embedded Triage Engineer The Embedded Triage Engineer evaluates performance data and test results ... Familiarity with reinforcement learning and training workflows for machine learning models.

Deloitte

Cyber - SecOps - Consultant

Dallas, TX · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

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Embedded Machine Learning information

See Dallas, TX salary details

$69.2K

$151.7K

$172.1K

How much do embedded machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for embedded machine learning in Dallas, TX is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $171,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are popular job titles related to Embedded Machine Learning jobs in Dallas, TX? For Embedded Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Dallas, TX look for? The top searched job categories for Embedded Machine Learning jobs in Dallas, TX are:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Dallas, TX as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Machine Learning Research Engineer | Kilby Labs

Texas Instruments

Dallas, TX • On-site

$186K/yr

Other

This job post has expired today. Applications are no longer accepted.

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers

Job description

Change the world. Love your job.

We are seeking a highly motivated Machine Learning Research Engineer to join our Embedded AI team 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 lead the efforts on advancing the state-of-the-art in LLM architectures, Agentic LLM, and Reasoning LLM. Your work will involve exploring innovative approaches to integrate LLMs with domain knowledge, related tools, and other AI techniques to achieve human-like decision-making capabilities for business impact.

In this machine learning research engineer role, you'll have the chance to work on the following topics: 

  • Explore the application of LLMs in code generation, evaluation, and optimization
  • Conduct research and development on novel and efficient LLM architectures, training algorithms, and post-training algorithms
  • Design and develop new reasoning models with domain-specific knowledge
  • Design and implement advanced Agentic LLM system for complex task automations
  • Collaborate with system teams and internal business teams to define and implement AI/ML solutions for core business
Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Minimum requirements:

  • Doctoral degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, or related field
  • 3 years of related experience

Preferred qualifications:

  • Strong background in Natural Language Processing, Large Language Models, and Deep Learning frameworks
  • Proven track record of designing, developing, and deploying machine learning models/LLMs that drive business value
  • Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization
  • Excellent understanding of LLM architectures and transformer-based models
  • Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm)
  • Strong foundation in text processing, tokenization, and embedding techniques
  • Knowledge of few-shot learning, transfer learning, and fine-tuning
  • Knowledge of LLM performance evaluation
  • Knowledge of reinforcement learning for LLM; Experience with LLM post-training implementation, including PPO, DPO, and GRPO
  • Experience with LLM agent implementation with tool calling
  • Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team

What Texas Instruments employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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