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Audio Machine Learning Intern Jobs in Ridgewood, NJ

Sandbar Inc

ML Engineer, Audio

Manhattan, NY · On-site

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 ...

Sandbar

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 ...

GitHub

Remote MDM & Data Quality Intern

Manhattan, NY · Remote

$31.82/hr

As our MDM & Data Quality Intern, you will work directly alongside a Solution Architect to design ... We're remote-first and offer competitive pay, generous learning and growth opportunities, and ...

New

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building ... Vision, audio, OCR, or deepfake classification. * Designing multilingual embedding systems with ...

Alignerr

Audio Engineer - Pro Tools

Manhattan, NY · Remote

Genuinely curious about AI-driven audio processing, sound analysis, or machine learning applications in music and sound Nice to Have * Experience with audio dataset creation, labeling, or AI audio ...

Spotify

Staff Machine Learning Engineer

Manhattan, NY · On-site

$227.50K - $324.99K/yr

We are looking for a Machine Learning Engineer to join the Personalization team - an area of ... Today, we are the world's most popular audio streaming subscription service. #J-18808-Ljbffr

10a Labs

Machine Learning Engineer

New York, NY · On-site

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building ... Vision, audio, OCR, or deepfake classification. * Designing multilingual embedding systems with ...

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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 Jun 3, 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 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 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 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 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 Ridgewood, NJ? For Audio Machine Learning Intern jobs in Ridgewood, NJ, the most frequently searched job titles are:
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 May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,085 per year, or $20.7 per hour.
Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY • On-site, Remote

$114.30K - $157K/yr

Full-time

Posted 16 days ago

Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?

Apply