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Audio Machine Learning Jobs in Texas (NOW HIRING)

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

webAI Inc

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Work with multi-modal AI systems across computer vision, audio, and natural language domains.

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

... audio, and images. Relational databases and NoSQL databases, such as Apache Hadoop, Apache Spark ... Experience with machine learning algorithms and automated machine learning to automate and build ...

Apple

Applied Scientist

Austin, TX · On-site

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... machine learning to help optimize marketing channels, via observational testing frameworks ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... machine learning to help optimize marketing channels, via observational testing frameworks ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... machine learning to help optimize marketing channels, via observational testing frameworks ...

Cook & Boardman

Lead Audio Video Technician

Austin, TX · On-site

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 ...

Wellby

Learning & Development Coordinator

Webster, TX · On-site

Position Summary The Learning and Development Coordinator plays a key role in driving the success ... machines such as personal computers, copiers, projection equipment, audio/video, Microsoft Teams ...

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All JobsAudio Machine Learning JobsAudio Machine Learning Jobs in Texas

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 Jul 9, 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 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.

Will MLE be replaced by AI?

In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.

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 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.

Which 5 jobs will survive AI?

Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.

What engineer makes $500,000 a year?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.

Do audio engineers get paid well?

Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
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
Staff Machine Learning Engineer

Staff Machine Learning Engineer

ForeFlight

Austin, TX • On-site, Remote

$208K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations, strengthening our financial infrastructure, and driving operational excellence across the business. Our team combines deep domain expertise with a collaborative, high-performance culture to solve complex challenges and support continued growth.
Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows. This role focuses on developing vertical ASR models optimized for high-accuracy transcription in noisy, safety-critical environments, including aviation communications, cockpit interactions, operational dispatch, maintenance coordination, and related specialized audio domains.
You will work across the full ML lifecycle - data engineering, model training, evaluation, deployment, and optimization - to deliver production-grade speech intelligence capabilities integrated into ForeFlight and broader aviation platforms.
This position is ideal for someone with deep expertise in speech AI, acoustic modeling, large-scale transcription pipelines, and domain adaptation techniques for specialized vocabularies and constrained communication environments.
Key Responsibilities
  • Design, train, and optimize domain-specific ASR models for aviation and operational communications.
  • Develop verticalized speech models tuned for specialized terminology, accents, abbreviations, call signs, and noisy radio/audio conditions.
  • Build and maintain large-scale transcription and labeling pipelines for supervised and semi-supervised learning workflows.
  • Fine-tune foundation speech models (e.g., Whisper, wav2vec, Conformer, RNN-T, Citrinet, NeMo-based architectures) for aviation-specific use cases.
  • Improve transcription quality through language model adaptation, pronunciation lexicons, contextual biasing, and decoding optimization.
  • Develop evaluation frameworks and benchmarking methodologies using WER, CER, domain entity accuracy, latency, and robustness metrics.
  • Collaborate with product, avionics, data engineering, and platform teams to deploy scalable real-time and batch transcription systems.
  • Optimize inference pipelines for edge, cloud, and low-latency streaming environments.
  • Research emerging techniques in speech enhancement, diarization, speaker adaptation, multilingual ASR, and audio foundation models.
  • Ensure compliance with security, privacy, and operational reliability standards required in aviation environments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, Linguistics, or related field.
  • 3+ years of experience in speech recognition, audio ML, or applied machine learning.
  • Strong experience training and fine-tuning ASR models using frameworks such as PyTorch or TensorFlow.
  • Experience with modern ASR architectures including:

    • Transformer-based ASR
    • Conformer
    • RNN-T
    • CTC-based systems
    • Encoder-decoder speech models

  • Experience working with:

    • Speech/audio preprocessing
    • Forced alignment
    • Language model adaptation
    • Beam search decoding
    • Noise robustness techniques

  • Familiarity with NVIDIA NeMo, Kaldi, ESPnet, Hugging Face, Whisper, DeepSpeed, or equivalent ecosystems.
  • Strong Python engineering skills and experience building production ML systems.
  • Experience with cloud infrastructure and ML deployment workflows (AWS, Kubernetes, Docker, CI/CD).
  • Ability to work with large audio datasets and distributed training environments.

Preferred Qualifications
  • Experience building ASR systems for aviation, air traffic control, public safety, defense, or other mission-critical domains.
  • Familiarity with VHF/UHF radio communications and noisy-channel audio processing.
  • Experience with multilingual or code-switching ASR systems.
  • Background in speech enhancement, keyword spotting, diarization, or speaker verification.
  • Knowledge of LLM-assisted transcription correction and retrieval-augmented speech systems.
  • Experience optimizing models for real-time streaming inference.
  • Active pilot experience or familiarity with aviation operations is a plus.

Why Join Us
At Jeppesen ForeFlight, we know you want a rewarding career. To do that, you need challenging projects, a good work environment, and awesome coworkers. We believe in our employees, and we empower them to make a direct impact on our products and services. We strive to provide our employees with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits package includes but is not limited to the following:
  • Medical, dental, vision insurance with Employer paid health premiums
  • Open PTO Policy
  • 401(k) with up to 10% company matching and immediate vesting
  • 12 Weeks Paid Maternity Leave
  • 4 Weeks Paid Paternity Leave
  • Flight Training Rewards

Pay is based upon candidate experience and qualifications, as well market and business considerations: Summary Pay Range: $208,000-$255,000
Jeppesen ForeFlight - EOE including Disability/Vets | Pay Transparency | E-Verify Participant | Equal Opportunity Employer
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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