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Audio Machine Learning Intern Jobs in Pflugerville, TX

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.

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.

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$140 - $200/hr

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

Catalyst Labs

ML Engineer

Austin, TX · On-site

... Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while ...

Catalyst Labs

ML Engineer

Austin, TX · On-site

... Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while ...

AMC Health

Senior Software Engineer Applied AI

Austin, TX · On-site

$121K - $160K/yr

... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Audio handling and the quirks of real human conversation (interruptions, timing, noise)

New

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 ...

IBM

Product Manager Intern 2027

Austin, TX · On-site

As an intern, you will work closely with engineering, design, and data science partners to support ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

IBM

Software Developer Intern 2027

Austin, TX · On-site

$18.75 - $24.50/hr

As an intern, you will work alongside experienced IBM developers to design, build, and test ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

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 ...

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Showing results 21-40

All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Pflugerville, TX

Audio Machine Learning Intern information

See Pflugerville, TX salary details

$24K

$40.1K

$82.8K

How much do audio machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for audio machine learning intern in Pflugerville, TX is $40,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Audio Machine Learning Intern jobs in Pflugerville, TX?

For Audio Machine Learning Intern jobs in Pflugerville, TX, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning Intern jobs in Pflugerville, TX look for?

The top searched job categories for Audio Machine Learning Intern jobs in Pflugerville, TX are:

What cities near Pflugerville, TX are hiring for Audio Machine Learning Intern jobs?

Cities near Pflugerville, TX with the most Audio Machine Learning Intern job openings:

Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Pflugerville, TX as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 30% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,056 per year, or $19.3 per hour.

Senior Machine Learning Engineer

webAI Inc

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Special Notice:
This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI.
About the Role:
We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments.
You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments.
Responsibilities:
  • Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
  • Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
  • Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
  • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
  • Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
  • Work with multi-modal AI systems across computer vision, audio, and natural language domains.
  • Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.

Qualifications:
  • Active US Security clearance
  • 4+ years of experience in applied AI, ML engineering, or production AI systems.
  • Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
  • Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
  • Expertise in model compression and optimization (quantization, pruning, distillation).
  • Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone).
  • Familiarity with multi-modal models and synthetic data generation methods.
  • Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.

Preferred Skills:
  • Experience with edge AI, federated learning, or offline inference systems.
  • Understanding of AI governance and compliance frameworks relevant to public sector deployments.
  • Experience integrating models into large scale distributed systems or microservice architectures.
  • Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
  • Strong understanding of GPU computing, CUDA, and performance profiling.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match (U.S.-based employees only)
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription (U.S.-based employees only)
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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