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Audio Machine Learning Intern Jobs in Ridgewood, NJ

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

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.

Fireworks AI

Applied Machine Learning Engineer

New York, NY · On-site

$170K - $240K/yr

... audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion ... As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI ...

THOMSON REUTERS

Applied Scientist Intern

New York, NY

$16.50 - $22/hr

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using ...

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All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Ridgewood, NJ

Audio Machine Learning Intern information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

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

As of Sep 12, 2026, the average yearly pay for audio machine learning intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 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 job categories do people searching Audio Machine Learning Intern jobs in Ridgewood, NJ look for?

The top searched job categories for Audio Machine Learning Intern jobs in Ridgewood, NJ are:

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

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

Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 2% As Needed, 62% Full Time, 29% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Senior Machine Learning Engineer

New York, NY

PROPRIUS
See more jobs at PROPRIUSexternal

$114K - $157K/yr

Full-time

Re-posted 18 days ago

Job description

Sr. Machine Learning Engineer

Location: New York, NY

Sponsorship: Yes

Relocation: Yes

Industry: Machine Learning

A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as: apps, games, devices, applications and digital experiences across; online education, healthcare, gaming, robotics, experiential design, market research, automotive, retail, human resources, training and coaching, media and advertising, video communication, and in wearables and devices.

Originally a facial recognition company, this organization is constantly innovating and now looking for a Lead Machine Learning Engineer to expand their capacity to next generation vehicles which can act on both visual and audio cues.

When successful, your research will be deployed into millions of vehicles worldwide.

This is an opportunity to join a well-funded, highly regarded team who are partnered with and backed by world-leading tech giants. This company already has many existing clients, patented technology, and rapid growth plans.

For this role you will need;

  • PhD or MS in Computer Science and Electrical Engineering
  • Expert level coding skills (Python, C++ at minimum)
  • 3+ years’ experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)
  • Excellent research and problem-solving skills along with communication and the ability to flourish in a fast-paced environment.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.