ZipRecruiter

Log In

1

Audio Machine Learning Intern Jobs in Oregon (NOW HIRING)

previous page

Showing results 41-54

All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Oregon

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 Oregon? For Audio Machine Learning Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Oregon look for? The top searched job categories for Audio Machine Learning Intern jobs in Oregon are:
Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 61% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

DoD SkillBridge Internship/Fellowship Opportunity Application (U.S. Military Only)

Anno.ai

OR • On-site, Remote

Other

Re-posted 2 days ago

Job description

**This opportunity is only for U.S. Active Duty Military SkillBridge candidates only**
100% Remote

Program Overview

As a U.S. Department of Defense SkillBridge fellow or intern, you will be embedded within functional and cross functional teams directly supporting our lines of business. You will be equipped, trained, and treated as one of us. The ideal program length is 90-150 days but there's flexibility with timelines. An individualized Skillbridge Plan is created with each candidate to ensure they acquire or improve skills and get the experience and exposure necessary for a successful transition from active-duty service. Candidates are matched to teams within engineering and data science divisions and involved in day-to-day operations and tasks. If you'd like to learn or get more experience in the areas of computer vision, distributed systems, edge-computing, and machine learning for cutting edge retail analytics while working for and alongside experts in these domains, Anno.Ai is the place for you.

Requirements:

  • Background in computer science, computer or electrical engineering, software development, data science, or similar
  • Experience with programming languages and frameworks such as Python, Spring, React, TypeScript, C/C++, C#/.NET technologies, SQL
  • Familiarity with DevSecOps processes and tools

The qualities we are looking for:

  • You quickly and honestly own any mistakes you make, you learn from them, and you move on
  • You are a self-starter with a strong, organized work ethic
  • You have a humble attitude and a desire to learn
  • You can balance the need to ship product with the need to optimize quality as needed according to business conditions
  • You clearly and effectively communicate complicated systems, software, methods, and results to a broad, often non-technical audience
  • You have excellent analytical, problem solving and technical skills
  • You have the ability to learn and leverage new technologies
  • You have a basic understanding of privacy and security
  • You advocate for simple, basic approaches and avoid over-engineered, overly complex solutions even when they perform a bit better
  • You are creative and enjoy solving new challenging problems
  • You translate insights into business recommendations
  • You are self-aware; you know what you are good at and what you are not; you know what you need to be productive and successful
  • You can navigate disagreement gracefully, give others the benefit of the doubt, and work well on a team

If you have any additional questions about our company or program, don't hesitate to contact us at talent@onsights.io. Feel free to send a cover letter so we can get to know you better!

**Total Rewards Packages described below is descriptive of approximately what would be offered with a full time employment opportunity.**

Apply