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Audio Machine Learning Intern Jobs (NOW HIRING)

PlusAI

Deep Learning Intern

Santa Clara, CA ยท On-site

$19 - $65/hr

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world ... Knowledge and/or experience with Machine Learning/Deep Learning * Experience in 3D computer vision ...

TikTok

$42.75/hr

The team is made up of machine learning researchers and engineers, who support and innovate on ... Job Information ใ€For Pay Transparencyใ€‘Compensation Description (Hourly) - Campus Intern The ...

dbi

Alterations Intern

Cincinnati, OH

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Albuquerque, NM

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Scottsdale, AZ

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA ยท On-site

$140K - $250K/yr

Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we ...

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Audio Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of Aug 7, 2026, the average yearly pay for audio machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

More about Audio Machine Learning Intern jobs
What cities are hiring for Audio Machine Learning Intern jobs? Cities with the most Audio Machine Learning Intern job openings:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What states have the most Audio Machine Learning Intern jobs? States with the most job openings for Audio Machine Learning Intern jobs include:
What job categories do people searching Audio Machine Learning Intern jobs look for? The top searched job categories for Audio Machine Learning Intern jobs are:
Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Research Intern (Fall 2026)

Phonic

San Francisco, CA โ€ข On-site

Full-time

Re-posted 22 days ago

Job description

About Phonic
Phonic is a product and research lab focused on powering the most realistic, human-like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create voice agents that feel like they truly understand you, respond emotionally and perform agentic tasks with frontier intelligence.
Our team includes top-tier AI researchers, international olympiad medalists, and former founders.
Our customers include companies that are building voice-native AI products in industries such as customer support, healthcare, and logistics. We have raised over $30M from tier 1 VCs.
About the Team
Phonic has a very talent-dense and close-knit team. We collaborate with high trust and are constantly trying to improve how we work to deliver world-class research and product. Everyone takes ownership in what they do and they aren't afraid to dive in headfirst into new problems. Our team includes top-tier AI researchers, international olympiad medalists, and former founders and we're fully in-person in our SF office.
The Role
As a Research Intern at Phonic, you'll work directly on the core problems that make Phonic's voice AI feel genuinely human. You'll own a research direction end-to-end - from identifying the right problem to designing experiments, developing novel methods, and seeing results through to production impact. This isn't a role focused on incremental improvements; we're looking for someone with the taste to identify what matters, the rigor to pursue it correctly, and the drive to ship it. You'll be fully in-person in our SF office.
What You'll Do
  • Identify high-leverage research problems across the voice AI stack from audio understanding to audio output, and take full ownership of driving them forward
  • Design and run rigorous experiments that analyze architectural trade-offs to understand how design choices influence a model's scalability, latency, and quality
  • Curate massive training datasets and execute rigorous experiments to determine exactly how data quality shapes model behavior and performance
  • Work directly with research scientists and engineers to move fast from prototype to production
  • Build the training pipelines, evaluation frameworks, and tooling that let us experiment and iterate quickly
What You'll Bring
  • A track record of original work: you've found a real problem, developed an approach, and seen it through
  • Proficiency in PyTorch (or JAX), and the ability to implement models cleanly from papers
  • Fluency in the math, probability, optimization, and linear algebra underlying model behavior
  • You move fluidly between ideas and implementation; you don't just think about problems, you build things
  • Clear, precise written and verbal communication
Nice To Have
  • Research experience in speech, audio, or language modeling (ASR, TTS, LLMs, codec models)
  • Familiarity with generative modeling techniques: diffusion, flow matching, or autoregressive models
  • Experience with RLHF or preference optimization
  • Competitive programming or olympiad background
  • Publications or preprints at venues like NeurIPS, ICML, ICLR, Interspeech, ICASSP, or ACL

Benefits
  • Top-tier compensation: in order to get the best talent, we provide salary and equity that recognize your skillset
  • Meals: free breakfast, lunch, and dinner provided in the office
  • We have regular off-sites and team celebrations

Apply