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Audio Machine Learning Intern Jobs in Berkeley, CA

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Audio Systems Engineer, Robot Head

Hayward, CA · On-site

$173.86 - $240/hr

This team works across hardware, firmware, machine learning, software, industrial design, and manufacturing to deliver robust audio experiences that perform reliably inside homes and alongside people.

New

Mosaic.tech

Research, Audio Expertise

San Francisco, CA · On-site

$350 - $475/hr

You'll explore how audio models enable more natural and efficient communication/collaboration ... Understanding of machine learning fundamentals, large-scale training, and distributed compute ...

New

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Umba

Operations Intern

San Francisco, CA · On-site

$15/hr

Company introduction Our mission at Umba is to use machine learning to allow us to create ... The intern will be exposed to a great deal of challenging experiences that align with a startup ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from ... Build and iterate on advanced machine learning architectures to map neural activity to complex ...

Brilent

Software Engineer Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a software engineering intern, you ...

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

Audio Machine Learning Intern information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

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 Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 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 Berkeley, CA?

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

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

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

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

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

Audio Machine Learning Intern jobs near you

Senior Machine Learning Engineer

RainesDev

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 2 days ago

Job description


This is the job description rewritten to be highly secretive and difficult to trace to the original company, "Reacher." All proprietary names, specific platforms (TikTok Shop, Hubspot, Under Armour, Hanes, etc.), and concrete growth metrics (7 figures ARR) have been generalized or removed.
Senior Machine Learning Engineer
About the Company
We are a rapidly scaling, post-revenue technology company building foundational infrastructure for the creator economy. Our platform connects major global brands and content creators, powering commerce and growth across various digital channels (e-commerce platforms, video sharing sites, social commerce).
We are implementing cutting-edge AI to solve complex problems for some of the world's largest companies and creators. We have a highly engaged and responsive user base that depends on our product daily, meaning your work will have a direct and immediate impact.
What You'll Do
You will be a core contributor, owning ML systems end-to-end: research, prototype, train, deploy, and iterate rapidly.
  • Build multimodal ML systems for analyzing large-scale video, text, images, and audio data.
  • Design and deploy advanced Large Language Model (LLM)-powered applications using modern Retrieval-Augmented Generation (RAG) and external AI APIs.
  • Develop robust content understanding and classification models for text and visual data.
  • Create sophisticated search and discovery systems using embeddings and semantic retrieval.
  • Construct audio analysis and processing pipelines.
  • Establish and enhance our MLOps infrastructure: data pipelines, model serving, monitoring, and experiment tracking.
  • Work closely with product teams and customers to translate vague requirements into shippable ML solutions.

You're a Fit If
  • You have 4-8 years of ML engineering experience deploying models in production.
  • You have strong Python and ML fundamentals and write clean, maintainable production code.
  • You have successfully built ML models end-to-end: data pipelines, training, serving, and monitoring.
  • You have production experience with LLMs and AI APIs (e.g., Anthropic, OpenAI).
  • You are comfortable building ML systems across multiple domains-NLP, computer vision, and audio.
  • You are product-minded and identify where ML can solve user problems and improve business metrics.

ML & AI-Specific Skills We Value
  • Deep Learning: Experience with neural networks, transformers, and CNNs.
  • NLP/LLMs: RAG systems, prompt engineering, vector databases, fine-tuning, and modern orchestration tools.
  • Computer Vision: Image classification, object detection, visual content understanding, and image embeddings.
  • Search & Retrieval: Semantic search, embedding models, and multimodal retrieval.
  • MLOps: Model serving, monitoring, and experiment tracking (e.g., MLflow).
  • Cloud ML: Comfortable with major cloud platforms (AWS or GCP) for model deployment and scalable inference.

Why Join Us
  • Be the ML/AI leader-define our ML strategy and infrastructure as we scale.
  • Your models reach users within days, not months.
  • Work on diverse, high-impact ML problems across video, language, and audio.
  • Opportunity to be an early ML hire in a strong engineering-first culture.
  • High autonomy and visibility-no boring tickets.

Apply