1

Audio Machine Learning Intern Jobs in Oregon (NOW HIRING)

$32 - $40/hr

Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ... Intern Employment Type: OTHER

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Golf Course Maintenance Intern

Bend, OR · On-site

$16 - $21.25/hr

Intern candidates must be pursuing a degree or certificate in turfgrass management or a related ... Operates small machinery to assist with edging, trimming and mowing. * Involved with tasks related ...

Golf Course Maintenance Intern

Bend, OR

$16 - $21.25/hr

Intern candidates must be pursuing a degree or certificate in turfgrass management or a related ... Operates small machinery to assist with edging, trimming and mowing. * Involved with tasks related ...

Instructional Designer

Lake Oswego, OR · On-site

$78K - $107K/yr

... for Learning Management Systems (LMS) such as Docebo. * Working knowledge of streaming audio and ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

... for Learning Management Systems (LMS) such as Docebo. * Working knowledge of streaming audio and ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

next page

Showing results 1-20

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 cities in Oregon are hiring for Audio Machine Learning Intern jobs? Cities in Oregon with the most Audio Machine Learning Intern job openings:
Intern - Generative AI/Agentic AI/Research

Intern - Generative AI/Agentic AI/Research

Cotiviti

On-site

$32 - $40/hr

Other

Posted 3 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

41st of 210 rated it services


Job description

Overview

This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in  healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.

Responsibilities

Technical Expertise

  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Complete all responsibilities and goals outlined in the internship program.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 4/15/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

#LI-DNP

#LI-LL!

#Intern

Employment Type: OTHER

What Cotiviti employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom