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Audio Machine Learning Intern 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.

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Audio Machine Learning Intern information

What does an Audio Machine Learning Intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an Audio Machine Learning Intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an Audio Machine Learning Intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

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Audio Machine Learning Intern 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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