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Audio Machine Learning Intern Jobs in Cambridge, MA

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for ...

DataRobot, Inc.

Agentic AI Intern

Boston, MA · On-site

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

617MediaGroup

A/V Production Internship

Boston, MA · On-site

$20.36/hr

S., is recruiting for a skilled A/V Intern to join our growing team. At 617MediaGroup, we don't ... learning from professionals and making an impact for the public good. This is a part-time, paid ...

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All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Cambridge, MA

Audio Machine Learning Intern information

See Cambridge, MA salary details

$27.9K

$46.5K

$96.2K

How much do audio machine learning intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for audio machine learning intern in Cambridge, MA is $46,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

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 Cambridge, MA?

For Audio Machine Learning Intern jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning Intern jobs in Cambridge, MA look for?

The top searched job categories for Audio Machine Learning Intern jobs in Cambridge, MA are:

Audio Machine Learning Intern jobs near you

Research Intern - Self-Improving AI

Microsoft

Cambridge, MA • On-site

$6.7K - $13K/mo

Internship

Re-posted 21 hours ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Overview
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for a project on self-improving AI systems.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
  • Enrolled in PhD or master's program in machine learning, computer science, or related discipline.
  • At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning.

Other Requirements
  • Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications
  • Experience with deep learning and language modeling frameworks including pytorch, huggingface transformers, vLLM.

Applied Sciences IC2 - The base pay range for this internship is USD $5,610 - $11,010 per month.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,270 - $12,030 per month.
Applied Sciences IC3 - The base pay range for this internship is USD $6,710 - $13,270 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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