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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 Minnesota? For Audio Machine Learning Intern jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Minnesota look for? The top searched job categories for Audio Machine Learning Intern jobs in Minnesota are:
What cities in Minnesota are hiring for Audio Machine Learning Intern jobs? Cities in Minnesota with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you
AI&I/Data Science Intern (PhD in progress) On-site

AI&I/Data Science Intern (PhD in progress) On-site

Mayo Clinic

Rochester, MN

$29.88/hr

Full-time

Posted 6 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

107th of 875 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Responsibilities

Functions as an artificial intelligence and informatics researcher by applying data science, artificial intelligence and informatics, and machine learning expertise to the design, implementation, analysis, interpretations, and reporting of research, clinical and administrative studies.


Qualifications

Working towards a PhD degree in data science, computer science, mathematics/statistics, informatics, computer engineering, or related field.  Research experience in artificial intelligence, machine learning, data science or related field preferred. Must have excellent analytical and problem-solving expertise, along with exceptional written and oral communication skills. Must be highly motived, willing to learn, and demonstrate initiative in assigned tasks. Also must possess excellent Python programming skills, strong expertise in literature review, demonstrated experience in experimentation and validation, and a foundational understanding of AI models and their validation in pathology. 

Visa sponsorship is not available for this position. 


Exemption Status
Nonexempt
Compensation Detail
This position has a predetermined rate of $29.88 per hour.
Benefits Eligible
No
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday-Friday; This is a full-time, temporary appointment through December 2026 with possibility of extension.
Weekend Schedule
N/A
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Stephanie BairdQualifications:

Working towards a PhD degree in data science, computer science, mathematics/statistics, informatics, computer engineering, or related field.  Research experience in artificial intelligence, machine learning, data science or related field preferred. Must have excellent analytical and problem-solving expertise, along with exceptional written and oral communication skills. Must be highly motived, willing to learn, and demonstrate initiative in assigned tasks. Also must possess excellent Python programming skills, strong expertise in literature review, demonstrated experience in experimentation and validation, and a foundational understanding of AI models and their validation in pathology. 

Visa sponsorship is not available for this position. 

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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