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Audio Machine Learning Intern Jobs in Minnesota (NOW HIRING)

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$15.25 - $19.75/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for ...

Victory Tool

Tool Designer - Intern

Anoka, MN · On-site

$20 - $30/hr

Hands-on learning from experienced designers and toolmakers * Flexibility and opportunities for ... Manufacturing, machining, fabrication, or toolroom experience is a plus, but not required

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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.

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Audio Machine Learning Intern jobs near you

Graduate Level Co-op - Data Scientist - Plymouth, MN - Summer 2027

Philips

Plymouth, MN • On-site

$33 - $48/hr

Full-time

Posted 4 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 159 rated electronics manufacturers

Job description

Job Title
Graduate Level Co-op - Data Scientist - Plymouth, MN - Summer 2027
Job Description
Graduate Co-op - Data Scientist - Plymouth, MN - Summer 2027
Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.
Your role:
Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op,
you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.
This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.
  • Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
  • Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
  • Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
  • Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
  • Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
  • Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
  • Complete required training necessary to comply with regulatory requirements and quality management system standards.
  • Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

You're the right fit if:
  • Pursuing a master's degree or doctorate (Ph.D) in computer science, computer engineering, or a related field.
  • Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
  • Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
  • Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
  • Good problem solving and debugging skills.
  • Team player with good communication, technical writing and presentation skills.
  • Willing and capable of working on-site in the office at our Plymouth, MN site.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.
This is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The hourly pay range for this position is $33.00 to $48.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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