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Audio Machine Learning Intern Jobs in Nebraska (NOW HIRING)

Must possess sufficient visual and audio acuity to work safely and accurately in an industrial ... We're always learning, improving, and striving to do better-for ourselves, our teams, and our ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

... intern. The team works closely with the Data Analytics teams and stakeholders across Business ... Experience with machine learning, deep learning, or NLP * Experience with cloud platforms and MLOps ...

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.

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.

Our Maintenance Ops Supervisor plays an integral role in ensuring machines and overall plant is ... Must possess sufficient visual and audio acuity to work safely and accurately in an industrial ...

New

... learning or self-service capabilities * Experience training clients or internal associates on ... This role requires use of a computer and audio equipment. Travel: This role requires regular travel ...

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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:
What cities in Nebraska are hiring for Audio Machine Learning Intern jobs? Cities in Nebraska with the most Audio Machine Learning Intern job openings:
Data Scientist Intern - In Office, Lincoln, NE only

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Re-posted 22 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 17 rated publishing


Job description

Data Scientist Intern - In Office, Lincoln, NE only
Lincoln, Nebraska, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself. Assume other duties as assigned.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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