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Audio Machine Learning Intern Jobs in Colorado (NOW HIRING)

AI Engineering Intern

Boulder, CO ยท On-site

$17 - $25/hr

Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development COMPENSATION $17-25/hour Note that interns do not qualify for benefits or equity ...

WASH Intern

Denver, CO ยท On-site +1

$15.50 - $20.50/hr

Improve processes and practices to strengthen learning across the global portfolio. Qualifications ... Regularly operates telephone, computer, software and printer, copy machine, and similar office ...

WASH Intern

Denver, CO

$15.50 - $20.50/hr

Improve processes and practices to strengthen learning across the global portfolio. Qualifications ... Regularly operates telephone, computer, software and printer, copy machine, and similar office ...

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.

Technical Programming Intern

Denver, CO ยท On-site +1

$15.50 - $20.50/hr

Improve algorithmic processes and data practices to strengthen learning and efficiency across the ... Regularly operates telephone, computer, software and printer, copy machine, and similar office ...

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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 the most commonly searched types of Audio Machine Learning jobs in Colorado? The most popular types of Audio Machine Learning jobs in Colorado are:
What are popular job titles related to Audio Machine Learning Intern jobs in Colorado? For Audio Machine Learning Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Colorado look for? The top searched job categories for Audio Machine Learning Intern jobs in Colorado are:
What cities in Colorado are hiring for Audio Machine Learning Intern jobs? Cities in Colorado with the most Audio Machine Learning Intern job openings:
Post Bachelor's Degree Intern

$25 - $28/hr

Full-time

Retirement, PTO

Posted 19 days ago


Job description

Headquartered in Boulder, Colorado, the National Solar Observatory (NSO) is an NSF national research and development center dedicated to advancing our understanding of the Sun and its influence on Earth and the solar system. NSO operates and supports world-class solar telescopes that enable cutting-edge research in solar physics and heliophysics. The observatory and its facilities are managed by the Association of Universities for Research in Astronomy (AURA), a consortium of 49 U.S. institutions and three international affiliates that operates premier astronomical observatories worldwide.

This position supports the National Solar Observatoryโ€™s Next-Generation Ground-Based Solar Observing Network (ngGONG), a major international initiative currently in the design phase. ngGONG will modernize NSOโ€™s global network of solar observatory stations, enabling continuous, high-quality observations that advance solar physics research and improve our understanding of space weather.

NSO is hiring for a full-time post-bachelorโ€™s intern to work closely with the Next Generation GONG (ngGONG) scientists, engineers and administrators to support the design, prototyping, development, and documentation of systems that will be crucial components of the design of the new solar observation network. This is intended to be a hands-on learning experience for college degree holders in a unique setting, contributing directly to solar research and technology development and preparing them for future educational or professional development steps in a related career. ย This is an eight-month assignment.

Essential Functions
  • Support the design, prototyping, evaluation, and development, of data acquisition, optical, computer, and/or mechanical systems for a future network of solar observations.
  • Documenting evaluation process and outcomes.
  • Make presentations at internal meetings about progress and conclusions on assigned tasks.
  • Participate in project meetings to learn broader scope of project and focus areas.
  • Participate, virtually and/or in person, in professional development offerings, including classes or mentoring sessions.
  • Eight Month Internship: 40 hours/week
  • All AURA employees are responsible for the proper management and control of all AURA property within their work area, whether assigned to them or someone else. This responsibility includes reporting any known missing, stolen, or non-working property in their work area to their supervisor or the AURA Property
  • Responsible for ensuring compliance with government award terms and conditions assigned to this position.
Other Functions
  • Other duties as assigned
Qualifications
  • Must have a B.A. or B.S. degree from an accredited college or university.
  • Basic knowledge of physical sciences, optics, engineering, and computer systems.
  • Basic computer skills.
  • Knowledge of Python or IDL programming languages.
  • Ability to work effectively in a team and communicate complex technical concepts clearly.
  • Availability to work on-site (NSO Headquarters, Boulder, Colorado) if needed during the internship.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Must be able to remain in a stationary position at least 50% of the time.
  • Occasional need to move about inside the office environment to access files, office tools, attendance in a meeting room, etc.
  • Constantly operates a computer and other office productivity tools that require fine motor skills, such as a calculator, copy machine, computer printer, etc.
  • May occasionally need to position self to maintain computer and related tools.
  • Seldomly needed to move objects up to 10 pounds.
  • Constant communication with other individuals. Must be able to discern and exchange information as appropriate to the situation.
  • Constant need to distinguish, discern, and identify a variety of objects and fine details with accuracy.

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required by personnel so classified. This Institute promotes Equal Employment Opportunity workplace that includes reasonable accommodations to otherwise qualified, disabled applicants and employees.

Salary and Benefits

Hourly pay rate: $25.00-$28.00 The final salary will depend on skills, qualifications, and experience.ย 

AURA offers an excellent benefits package including paid time off and retirement plan contributions, competitive salary commensurate with experience, and a very attractive work environment. Details on benefits can be found atย Benefits by Location - Aura Human Resourcesย ย ย 

About NSO and AURA

The National Solar Observatory is operated by the Association of Universities for Research in Astronomy (AURA), a consortium of leading universities and research institutions committed to advancing astronomical discovery. AURA manages world-class observatories for the National Science Foundation, providing scientific leadership, operational excellence, and a collaborative environment that supports groundbreaking research. As part of AURA, NSO benefits from shared resources and a community dedicated to innovation, transparency, and public service, ensuring its work has broad and lasting impact.

ย How to Apply

If youโ€™re interested in providing high-level engineering support for a mission-driven scientific program at one of the worldโ€™s premier observatories, we encourage you to apply. Applications received byย June 9, 2026,ย will receive priority consideration. This position will remain open until filled.

Submit your CV and cover letter (PDF format preferred) via our application system. Please name your files in the format:ย Lastname_Docname.pdf.

Individuals needing assistance with the employment process can request assistanceย here