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Audio Machine Learning Intern Jobs in Piscataway, NJ

Machine Learning Engineer

New York, NY · On-site

$62K - $100K/yr

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an ...

Machine Learning Engineer

Livingston, NJ · On-site

$62K - $100K/yr

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an ...

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry ... audio cues. When successful, your research will be deployed into millions of vehicles worldwide.

ML Engineer, Audio

New York, NY · On-site

$180K - $250K/yr

About We're looking for a machine learning engineer to help build Stream, a new conversational ... Develop, evaluate, and deploy audio models spanning cloud models to resource-constrained on-device ...

They are seeking a machine learning engineer to develop a new conversational computer, working on voice, memory, and agentic control. Responsibilities : • Develop, evaluate, and deploy audio models ...

Showing results 21-40

Audio Machine Learning Intern information

See Piscataway, NJ salary details

$26K

$43.4K

$89.7K

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

As of Aug 19, 2026, the average yearly pay for audio machine learning intern in Piscataway, NJ is $43,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 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 Piscataway, NJ?

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

What cities near Piscataway, NJ are hiring for Audio Machine Learning Intern jobs?

Cities near Piscataway, NJ with the most Audio Machine Learning Intern job openings:

Infographic showing various Audio Machine Learning Intern job openings in Piscataway, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 4% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,388 per year, or $20.9 per hour.

Adult Education Data Intern (Unpaid)

International Rescue Committee

Elizabeth, NJ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


International Rescue Committee rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

358th of 773 rated non-profit organizations


Job description

The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.
SCOPE OF INTERN WORK:
The International Rescue Committee (IRC), works in the United States welcomes newly arrived refugees and immigrants, supports them in their resettlement, and provides holistic services to help them build new lives in their communities.
The Adult Education Data Intern will acquire hands-on experience in collecting both qualitative and quantitative data. Responsibilities include managing and anlyzing the collected data, as well as performing data entry tasks using IRC's internal client case management system, Efforts to Outcome (ETO), and the New Jersey Office of Refugee (NJOR)'s case management system, Client Track (CT). Additionally, the intern will assist in developing operational workflows and utilizing Power Automate to enhance data collection efficiency.
RESPONSIBILITIES:
Participate in ETO and CT training to learn how to use the platform efficiently.
Record English Language Training (ELT) Program related case notes, including
attendance records, assessment records, and other case management case notes on ETO.
Record ELT project enrollment note on ETO and CT.
Record case notes for other education programs under Adult Education Deparment.
Perform data entries, file, and assemble information for comprehensive reports in the internal databases (ETO), Client Track (CT) and Microsoft Excel.
Create, collect and analyze course feedback surveys.
Assist in creating semi-annual and annual reports in Microsoft Excel.
Verify and correct data discrepancies or errors to ensure data quality.
Utilize Power Automate to build new workflows for the Adult Education Department.
Use PowerBI for data analysis to increase program quality and impact.
Organize and maintain files and records.
Support other assigned tasks for the adult education department.
LEARNING OBJECTIVES:
1. The intern will gain proficiency in using various funder-mandated databases to collect and evaluate data related to the resettlement outcomes of IRC clients, with a particular focus on Education.
2. The intern will gain firsthand experience in the development of systems to maximize operational effectiveness.
3. The intern will learn organizational communication and time management skills.
REQUIREMENTS:
Graduate or undergraduate students who are passionate about data management, or hold degree in Computer Science, Data Analytics, Information Systems or related field.
Experience (or a willingness to learn) Microsoft systems including: Power Automate and PowerBi.
Experience in using Box and Microsoft Apps such as Excel is strongly preferred.
Must convey confidence, have effective communication skills, and exhibit excellent attention to detail.
Demonstrated ability to work effectively in a multicultural environment.
Demonstrate patience, understanding, flexibility, and a consistently positive attitude.
Willing to learn about IRC history, philosophy, global work, and local efforts.
Willing to adhere to IRC volunteer and workplace policies.
IRC leading the way From Harm to Home.
PROFESSIONAL STANDARDS
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
Cookies: ;br>
Compensation: Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.
US Benefits: We offer a comprehensive and highly competitive set of benefits. In the US, these include: 10 sick days, 10 US holidays, 20-25 paid time off days depending on role and tenure, medical insurance starting at $163 per month, dental starting at $6.50 per month, and vision starting at $5 per month, FSA for healthcare and commuter costs, a 403b retirement savings plans with immediately vested matching, disability & life insurance, and an Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles.
Equal Opportunity Employer: IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by applicable law.
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About International Rescue Committee

Sourced by ZipRecruiter

The International Rescue Committee (IRC) responds to the world's worst humanitarian crises and helps people to survive and rebuild their lives. At work in over 40 countries and 28 U.S. cities to restore safety, dignity and hope, the IRC leads the way from harm to home. Domestically, our 28 offices across the U.S. ensure new arrivals have food, shelter, and clothing, and work with refugees to help them gain self-sufficiency.

Industry

Non-profits

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1933