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Audio Machine Learning Jobs in Texas (NOW HIRING)

Career Growth: You'll benefit from continuous learning, mentorship, and leadership training ... These may include outdoor weather, proximity to forklifts or other heavy machinery, and the use of ...

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

You will leverage large language models (LLMs), agentic frameworks, and advanced machine learning ... Develop generative AI solutions for text generation, summarization, audio-to-text transcription ...

IT Manager

Webster, TX · On-site

$83.30K - $102.20K/yr

Knowledge of emerging technologies, such as artificial intelligence, machine learning, and ... audio/video, Microsoft Teams, Zoom Video Communications, and adding devices. * Ability to ...

IT Manager

Webster, TX

$83.30K - $102.20K/yr

Knowledge of emerging technologies, such as artificial intelligence, machine learning, and ... audio/video, Microsoft Teams, Zoom Video Communications, and adding devices. * Ability to ...

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Audio Machine Learning information

See Texas salary details

$27.5K

$78.7K

$159.8K

How much do audio machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for audio machine learning in Texas is $78,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $105,300.00 per year, depending on experience, location, and employer.

What is an Audio Machine Learning job?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
What are the most commonly searched types of Audio Machine Learning jobs in Texas? The most popular types of Audio Machine Learning jobs in Texas are:
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)

Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)

Sam Houston State University

Huntsville, TX • On-site

Full-time

Posted 27 days ago


Sam Houston State University rating

7.0

Company rating: 7.0 out of 10

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Job description

Posting Details
Posting Information
Requisition
202500409ST
Title
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)
Employee Class
Student Employee
College Work Study Position
No
Department
Dept of Computer Science
Division
Division of Academic Affairs
Hours per week
20
Hiring Rate
Preferred Student Classification
Admitted to or currently enrolled in an M.S. or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Nature & Purpose of Position
Please note: Due to project requirements, this position is open only to U.S. Citizens or U.S. Permanent Residents.
Position Overview
We are seeking two highly motivated Graduate Research Assistants to join an NSF-funded project focused on developing the next generation of cybersecurity for the Internet of Things (IoT) (10/2025 to 09/2027). This project addresses a critical security gap in mission-critical systems like smart cities, intelligent transportation, and defense. Our research will explore, develop, and prototype innovative security mechanisms based on multimodal sensing-the integration of multiple sensor types, with a particular focus on integrating image and audio data. You will be at the forefront of research that intersects wireless networking, mobile sensing, and AI to enhance the protection of these vital systems.
Key Responsibilities
Selected candidates will contribute to one or more of the project's three core research thrusts:
MSS-KEY: Developing a novel framework for establishing secure ad hoc keys between IoT devices by leveraging indirectly correlated multimodal sensing data and unforgeable physical-domain randomness.
MSS-VAL: Designing a framework to protect IoT systems (especially those using image/audio) against manipulated or spoofed sensor inputs.
MSS-AUG: Using AI (e.g., cross-domain generative learning) to streamline and automate the integration of new sensing modalities (like new camera or audio streams) into existing security systems.
Additional responsibilities include:
Assisting in the design and development of a dedicated MSS testbed equipped with a wide range of sensors, including cameras and microphones.
Conducting rigorous experimental validation of the proposed techniques.
Analyzing data and preparing findings for publication in top-tier conferences and journals.
Collaborating with faculty and other students, and contributing to the project's broader impacts.
Other Requirements for the Position
Strong programming skills (e.g., Python, C/C++).
Solid understanding of fundamental computer science and engineering concepts.
Strong analytical, problem-solving, and written/verbal communication skills.
Preferred Qualifications
Research interest or background in one or more of the following:
Cybersecurity (encryption, authentication, network security, etc.)
Internet of Things (IoT) systems
Wireless networking and/or mobile sensing
Direct experience with MULTIMEDIA processing (e.g., computer vision, OpenCV) and/or audio processing (e.g., digital signal processing, speech analysis).
Experience with machine learning, deep learning, or generative models, preferably with frameworks such as PyTorch, TensorFlow, or Keras.
Hands-on experience with hardware prototyping (e.g., Raspberry Pi, Arduino, cameras, microphones).
Open Date
08/06/2025
Position Number
9N9891-00
Contact Information
Contact Name & Title
Qingzhong Liu
Contact Phone
936-294-3569
Contact Email
qxl005@shsu.edu
Contact Building & Room #
AB1 216D
Contact Fax
Contact Instructions Summary
please send questions concerning this post to: qxl005@shsu.edu
EEO Statement
EEO Statement
Sam Houston State University is an Equal Employment Opportunity Employer and Smoke/Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, creed, ancestry, marital status, citizenship, color, national origin, sex, religion, age, disability, or protected veteran status. The University takes seriously the initiative to ensure equal opportunity in the workforce and to comply with Title VII as interpreted by the U.S. Supreme Court. Sam Houston State University is an "at will" employer. Employees with a contract will have additional terms and conditions. Security-sensitive positions at SHSU require background checks in accordance with Education Code §51.215.
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