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Audio Machine Learning Intern Jobs in Ridgewood, NJ

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on ...

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14, 2026) Job Reports To: Director of AI Salary Range: $30.00-$35.00/hr. About Jaan Health/Phamily Jaan ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14, 2026) Job Reports To: Director of AI Salary Range: $30.00-$35.00/hr. About Jaan Health/Phamily Jaan ...

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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:
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.
Machine Learning Intern

Machine Learning Intern

CloudDevs

Manhattan, NY โ€ข Remote

Internship

Posted 13 days ago


Job description

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on cuttingโ€edge projects that leverage machine learning algorithms and techniques. This role is crucial in helping Optimspace develop innovative solutions and enhance its products using dataโ€driven insights and predictive modeling.

As a Machine Learning Intern at Optimspace, you will be involved in projects that focus on data analysis, pattern recognition, and algorithm development. This role plays a key part in driving the company's success by contributing to the creation of intelligent systems and improving decisionโ€making processes. Join us to gain handsโ€on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment.

Responsibilities Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development and implementation of machine learning algorithms. Conduct experiments to evaluate the performance of machine learning models.

Collaborate with team members to analyze data and generate insights. Contribute to the optimization and tuning of machine learning models. Assist in deploying machine learning models into production environments.

Stay updated on the latest trends and advancements in machine learning. Document processes, results, and findings for future reference. Requirements Pursuing a degree in Computer Science, Data Science, or related field.

Strong understanding of machine learning concepts and algorithms. Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and visualization tools like Pandas, NumPy, and Matplotlib.

Ability to work independently and in a team environment. Excellent problemโ€solving and analytical skills. Good communication and interpersonal abilities.

Attention to detail and a passion for learning and growth. About the company Join our team at Optimspace and embark on a journey of growth and innovation. #J-18808-Ljbffr