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Audio Machine Learning Intern Jobs in Nebraska (NOW HIRING)

American Emergency Vehicles

Intern

Snyder, NE · On-site

$14.25 - $19/hr

The Intern position is responsible for providing support to their assigned department. JOB ... Never Write: Frequently Operate production machinery: Never Isolated with minimal support:

RDO Truck Centers

AYF Service Intern

Omaha, NE

The Access Your Future Service Intern path offers students part time employment at a sponsoring ... higher learning center the student is attending. * Document machine information and repairs ...

RDO Truck Centers

AYF Service Intern

Omaha, NE · On-site

The Access Your Future Service Intern path offers students part time employment at a sponsoring ... higher learning center the student is attending. * Document machine information and repairs ...

ALLO Fiber

DoW SkillBridge Internship

Lincoln, NE · On-site

As a DoW SkillBridge intern for ALLO, you must be a military service member who is in good standing ... Commit to providing an Exceptional and Hassle-Free outcome-oriented learning organization.

ALLO Fiber

DoW SkillBridge Internship

Lincoln, NE · On-site

As a DoW SkillBridge intern for ALLO, you must be a military service member who is in good standing ... Commit to providing an Exceptional and Hassle-Free outcome-oriented learning organization.

ALLO Fiber

DoW SkillBridge Internship

Lincoln, NE

As a DoW SkillBridge intern for ALLO, you must be a military service member who is in good standing ... Commit to providing an Exceptional and Hassle-Free outcome-oriented learning organization.

Monitise

Production Data Analyst

Omaha, NE · On-site

... machine learning models, or similar analytical methods to support business analysis or process ... This role requires use of a computer and audio equipment. * This role requires flexibility to work ...

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Audio Machine Learning Intern information

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 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 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 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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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:
What cities in Nebraska are hiring for Audio Machine Learning Intern jobs? Cities in Nebraska 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 Nebraska as of May 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution.
Internship - Data Analytics (Omaha, NE)

Internship - Data Analytics (Omaha, NE)

First National Bank of Omaha

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

At FNBO, our employees are the heart of our story-and we're committed to their success! Please see below the details of this career opportunity and how it fits into our organization's success.
Summary of the Job:
This internship opportunity is within our Partnership Data & Modeling (PDM) Department in the Consumer Banking Group. PDM is a critical department in our organization, managing the development and implementation of a multitude of analytical tools which enable our day-to-day decision-making processes for a variety of banking products.
As a Data Analytics intern, the student would complete real-life projects under the mentoring of analytics professionals within the department. The area of work will mostly focus on marketing and partnership analytics, but can be tailored to the student's interest, experience, and career goals.
About This Role:
Projects could include:
1. Data mining very large databases (tens of millions of records) using a variety of analytics tools (SQL, SAS, R, Python), conduct data analyses and build machine learning models to solve business problems
2. Write model documentation to ensure transparency and provide necessary documents for model validation and auditing purposes
3. Act as a junior data consultant to internal business teams and external clients by providing data driven insights to answer relevant business questions
4. Present model performance results, analysis outcomes and findings to business users and management
5. Work on reporting requests from business users to help them get the right data for their campaigns and operations
Duties may include:
Attend and participate in required internship educational sessions to develop and enhance core skills, industry knowledge, and key system and process understanding (as available). Work with manager to develop, implement and complete a development plan, intended to identify educational opportunities in the organization aligned with interests
Qualifications: Required:
  • Graduate student or senior undergraduate in a quantitative field such as Statistics, Computer Science, Data Science, Mathematics
  • Demonstrate excellent oral and written communication skills
  • Experience using one or more of the following programming languages: SQL, SAS, R, or Python
  • Applicant would be expected to be able to work part-time (at least 20 hours/week) during the academic year
  • Working onsite 3+ days per week

The Ideal Candidate for This Role:
Preferred:
  • Experience with AWS machine learning tools (SageMaker, Transcribe, etc.), Python, PowerBI
  • Located in Omaha area

Candidates must possess unrestricted work authorization and not require future sponsorship.
Work Environment:
It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.
Compensation and Benefits Overview:
We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:
  • Medical, Dental, Vision Insurance
  • 401k, With Matching Contributions
  • Time Off Programs
  • Health Savings Account (HSA)/Dependent Care
  • Employee Banking
  • Growth Opportunities
  • Tuition Assistance
  • Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.
To obtain compensation and benefit information related to this specific role, e-mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.
Job number: R-20260931
Equal Opportunity & Belonging:
FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves-no matter their role or where they are in their journey.
Learn more here.
FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.
Click here to download 'EEO is The Law' Self-Print Poster
Click here to download 'EEO is The Law' Supplement for Federal Contractors
Click here to download 'EEO is The Law' GINA Supplement
FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC
FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)
Application Deadline:
All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.

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