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Audio Machine Learning Intern Jobs in Nebraska (NOW HIRING)

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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.

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

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

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

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

Machine Shop Intern - Summer 2027

South Sioux City, NE


empirical foods, inc.
Food and Drink Manufacturing • 501 - 1,000 employees

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

86th of 443 rated food and drinks producers

Good employer

Learn new skills


Full-time, Temporary, Internship

Posted 2 days ago

New


Job description

The empirical internship program is a best-in-class experience. It provides students the unique opportunity to work in a privately held, leading edge, manufacturing technology company. Our internship program helps us to identify future leaders as well as provide an opportunity for interns to experience our culture and see the variety of career paths available at empirical.

Internships are temporary summer positions that last approximately 10-12 weeks. Each intern will be assigned a project(s) affording the opportunity to actively contribute to the manufacturing organization and build a comprehensive understanding of their desired field.

Throughout the internship, you will have the chance to work with our internal teams on the assigned projects as well as meet with upper management to reflect on your personal and professional development.

If applicable, all interns will be considered for full-time positions based on their performance over the course of their internship. Housing provided when needed. Empirical arranges various intern activities including sporting events, dinners, team lunches, etc. to provide opportunities for socializing, professional development, and learning more about the company.


  • Complete saw cutting of materials as directed by Machine Shop Management. Set cutting speeds and adjust blade.
  • Sharpen drill bits and end mills.
  • Clean machines and machine shop daily. Duties would include sweeping, wiping down machines, and removal of metal shavings and cutting oils.
  • Help with tooling inventory, collecting, and putting tools away.
  • May operate manual lathes, mills, and CNC machines. Operate surface grinder and other equipment, as needed.
  • Inspect parts per print, responsible for documenting if parts have passed or failed.
  • Help machinist on setting up parts.
  • Locate and return tools back to inventory.
  • Ability to perform all essential job functions with or without reasonable accommodation.
  • Perform all other duties as assigned.

Skills and Abilities

  • Entry level mechanical knowledge, familiar with industrial equipment and parts.
  • General computer knowledge and proficiency.

Demonstrated Competencies

  • Basic communication skills; speaking clearly and effectively and writing legibly and effectively.
  • Must have regular and punctual attendance.

Physical Requirements

  • Must be able to lift, push, and pull up to 60 lbs.
  • This position requires walking, standing, climbing, bending, reaching, and handling.

Experience:  Experience in a machining or manufacturing environment preferred but not required.
Education:  Currently pursuing a bachelor’s degree or technical degree in related discipline.
Department:   Machining



What Empirical Foods employees say

Pay

Hours and flexibility

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