ZipRecruiter

Log In

1

Audio Machine Learning Intern Jobs in Anaheim, CA

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo Corporation

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

HARMAN International

Audio ML Engineer (Research)

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... You will build models that understand audio scenes, predict perceptual outcomes, personalize tuning ...

Ametek

AI Automation Intern

Orange, CA

The AI Automation Intern will drive two key initiatives: Develop an AIdriven magnetics design ... Develop an AI enabled magnetics design automation capability that leverages machine learning models ...

New

previous pagenext page

Showing results 21-40

All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Anaheim, CA

Audio Machine Learning Intern information

See Anaheim, CA salary details

$26.7K

$44.6K

$92.1K

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

As of Aug 20, 2026, the average yearly pay for audio machine learning intern in Anaheim, CA is $44,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,200.00 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 Anaheim, CA?

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

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

The top searched job categories for Audio Machine Learning Intern jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Audio Machine Learning Intern jobs?

Cities near Anaheim, CA with the most Audio Machine Learning Intern job openings:

Audio Machine Learning Intern jobs near you

Machine Learning Scientist

Xforia, Inc.

Laguna Hills, CA • On-site

Contractor

Re-posted 2 days ago

Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Rapid prototyping, training, and testing of ML solutions using online code repositories, research publications, or customer specifications.
Staying current with advancements in ML, including new development tools, libraries, frameworks, ML models/architectures, training techniques, and application pipelines.
Participating in ML algorithm/hardware co-design tasks.
Performing, documenting, and presenting detailed analyses related to ML algorithm development, software/hardware benchmarking, and application development.
Gaining a thorough understanding of the Akida 1.0/2.0 hardware device and associated software stack (MetaTF).
Interfacing with customers to discuss ML application goals, constraints, and opportunities.
Developing and optimizing models for time series data and large language models (LLMs).
Advancing the state-of-the-art in ML through innovative research and practical coding skills.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
Master's Degree in Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a PhD with 3+ years of experience.
Coursework in machine learning, computer vision, control systems, and time series modeling.
Strong programming skills in Python.
Experience developing ML applications in TensorFlow/Keras and/or PyTorch.
Excellent communication skills.
Experience in one or more of the following application fields: Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic Speech Recognition, and Time Series Modeling
Evidence of creativity, including patents and publications.
Preferred Qualifications:
Experience training and optimizing large language models (LLMs).
Ph.D. 5+ years of domain expertise
Multi-project experience in object classification, object detection, face recognition, keyword spotting, and time series modeling, automatic speech recognition.
Knowledge of deep learning quantization techniques.
Experience with Docker and Git.
Experience with Scrum/Agile software development methodologies (e.g., Jira).
Language Skills:
Exceptional presentation, verbal and written skills.
Ability to independently synthesize a point of view given many different perspectives.
Ability to read and interpret documents, such as policies and procedures, routine mail, contracts, and instruction manuals. Ability to compose routine reports and correspondence.
Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.
Reasoning Ability:
Advanced ability to analyze information, problems, situations, practices, or procedures.
Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications.
Ability to carry out instructions delivered in written, oral, or other formats in daily situations.
Ability to deal with problems involving several concrete variables in standardized situations.
Ability to make timely decisions to produce positive outcomes.

Apply