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Audio Machine Learning Intern Jobs in Pflugerville, TX

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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 20, 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.

Office Manager & Executive Assistant

Pattern Bioscience

Austin, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

At Pattern Bioscience, we're tackling antibiotic resistance, one of the biggest public health challenges of our time. We use machine learning and microfluidics to quickly recognize the bacteria causing an infection and to predict which drugs will cure the infection.
We are looking for an empathetic, detail-oriented, proactive and highly dependable Office Manager & Executive Assistant to join our team. In this dual role, you will provide high-level administrative support to our executive team while ensuring the smooth operation of our office. If you thrive in a fast-paced environment, problem-solve with creativity, love supporting others, and wearing multiple hats, this role is for you.
How You Will Contribute
Office Management
  • Receive visitors and ensure needed supplies and meeting rooms are ready for them
  • Maintain a clean, organized, and productive environment (including regular tidying) and stocked snack and beverage area
  • Work with building and IT vendor staff to address facilities concerns (repairs, HVAC, internet availability, etc.)
  • Coordinate catering for team gatherings
  • Ensure A/V setup in conference rooms and main office area for townhalls aligns with meeting needs
  • Plan and executive company events that deliver opportunities for team connecting and celebration
  • Support Finance with time tracking support
  • Provide additional operational and project support as needed to enable overall business and People & Culture initiatives

Executive Assistant
  • Manage calendars, schedule meetings, and coordinate travel arrangements for executives and visitors traveling from outside Austin
  • Prepare and edit correspondence, presentations, and reports
  • Coordinate and facilitate communication between the CEO and internal/external stakeholders.
  • Handle confidential information with discretion and professionalism

We'd Love to Hear from You If You
  • Embrace the details and believe the small things make a difference, nothing slips through the cracks for you
  • Proactively look for ways to make things better
  • Practice good judgement and discretion about urgency, prioritization, and addressing problems
  • Communicate clearly and succinctly, with excellent grammar and syntax, adjusting your style as needed for the situation
  • Have a positive, enthusiastic, and "can-do" attitude
  • Build strong, collaborative relationships across all levels
  • Manage your time well to meet varied deadlines
  • Invest in your own development and learning
  • Can be flexible with your schedule as needed to support events, executives, or urgent office matters
Desired Education and Experience
  • 3+ years of combined office management and executive assistant experience
  • Proficiency with Microsoft Office 365 and SharePoint, especially Outlook Calendaring and Teams, and other software tools for scheduling
  • Experience with scheduling for interviews and using recruiting tools a plus
Details
  • Type of Position: Salaried, Full-time, 5 Days Onsite

Join us! We're excited for what you can bring to our team. Here are a few things we provide to make sure you have a great experience. Learn more about our team by visiting our website.
Benefits
  • Health insurance
  • 401k Matching
  • Paid Time Off
  • The opportunity to make a global impact

To fulfill our mission and build world-changing technology, we've put together a diverse, multi-disciplinary top-notch team, a culture of innovation, learning, adaptability, and excellence and environment where people love coming to work.
We value diversity on our teams. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

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