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Audio Machine Learning Jobs in Texas (NOW HIRING)

Confie

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 ...

Sony

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

Sony

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

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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 Sep 10, 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?

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 does an audio machine learning do?

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 key skills and qualifications needed to thrive in audio machine learning?

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 most commonly searched types of Audio Machine Learning jobs in Texas?

The most popular types of Audio Machine Learning jobs in Texas are:

What are popular job titles related to Audio Machine Learning jobs in Texas?

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

What job categories do people searching Audio Machine Learning jobs in Texas look for?

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

Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $78,683 per year, or $37.8 per hour.

Adjunct Faculty - Machining Technology

Amarillo, TX • On-site

Amarillo College
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Amarillo Collegeexternal

Part-time

Retirement

Re-posted 13 days ago

Amarillo College rating

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Salary: See Position Description
Location : Amarillo, TX
Job Type: Part-Time
Job Number: 202400748
Division: Manufacturing Technology
Department: 10_13_04_431040 - (MCHN) - Machining Technology
Opening Date: 06/30/2026
FLSA: Exempt
Grade: LH
Summary
At Amarillo College, our mission is: Transforming our community and economy through learning, innovation, and achievement. Every team member, regardless of job title or duties, is responsible first and foremost, for assisting students in every way.
This is an exciting time to work for Amarillo College! We are seeking our next Adjunct Faculty - Machining Technology who will be all-in on our mission and who is responsible for delivering high-quality instruction in machining technology through classroom, laboratory, and online settings. This role includes preparing and delivering course materials, maintaining subject matter expertise, and fostering a learning environment that supports student success and engagement.
Qualifications
EDUCATION:
Required: Associate Degree in Machining Technology or a closely related field.
Note: Relevant industry experience and recognized professional certifications may be considered in lieu of formal educational requirements.
EXPERIENCE:
Required: Five (5) years of professional experience in the machining or manufacturing industry.
Preferred: Experience teaching at the secondary or post-secondary level.
CERTIFICATION/LICENSES:
Preferred: National Institute of Metalworking Skills (NIMS) certification.
Job Duties & Responsibilities
  • Deliver engaging and effective instruction in machining technology through classroom, lab, and online modalities.
  • Prepare and maintain instructional materials aligned with approved course objectives and learning outcomes.
  • Assess and monitor student progress regularly to ensure mastery of course content.
  • Assist students with coursework, projects, research, and internships as needed.
  • Maintain accurate records of student attendance and grades in Blackboard or other college-approved platforms.
  • Select and utilize appropriate instructional materials, including textbooks and digital resources.
  • Comply with all Amarillo College policies, procedures, and guidelines, including the Academic Affairs Handbook.
  • Perform other work-related duties as required.
  • As an Amarillo College employee, seek knowledge of and pledge to actively engage in a culture of caring striving to serve students, peers and the community by embracing the AC Core Values: Wow, Family, Fun, Innovation, and Yes!

Knowledge, Skills & Abilities
  • Strong knowledge of machining tools, equipment, and safety standards.
  • Effective instructional and classroom management skills.
  • Ability to inspire, engage, and support a diverse student population.
  • Excellent written, oral, and interpersonal communication skills.
  • Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and online learning platforms.
  • Strong organizational and record-keeping abilities.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Adaptability and willingness to embrace innovation and change in instructional delivery.
  • Commitment to continuous improvement, student achievement, and professional development.

Salary: , please review the TEACHING OVERLOAD COMPENSATION and ADJUNCT FACULTY COMPENSATION chart to view the salary pay scale. This is based on your highest level of education.
Physical Demands: While performing the duties of this job, the employee is frequently required to travel between offices and buildings, and requires the ability to lift, carry, push, pull and/or maneuver office supplies as needed.
Working Conditions: Must be willing to work a flexible schedule (days, nights, weekends, holidays, and varying events if necessary).
Work Environment: This job may operate in a classroom, online, or tech supported setting. This role routinely uses standard classroom and office equipment such as microphones, audio/video-recorders, computers, overhead projectors, phones, copy machines, filing cabinets and fax machines.
Notice of Background: Applicants selected for employment will be required to undergo a pre-employment criminal history background check and possibly a pre-employment drug test.
Promotional Opportunity Policy: Under the Amarillo College Promotional Opportunity Policy, only current appointed or part-time non-appointed employees will be considered for a position during the first five (5) working days from notice or posting.
Amarillo College is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.
Part-time employees are entitled to a free gym membership at the First Bank Southwest Fitness center, Free tuition up to 6 credits per semester, and a generous retirement plan.

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