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Audio Machine Learning Jobs (NOW HIRING)

Jobtailor

Data Engineering Intern

Niles, IL · On-site

Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms Work closely with the data science and ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA · 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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$216K - $324K/yr

The Machine Learning Platform Technology team is building groundbreaking technology for search ... multilingual, image, audio, video) Design, implement, and deploy scalable ML models for ...

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused research project across our voice stack: speech-to-text, large language models, neural audio codecs, or ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Responsibilities : • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. • ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. • Implement and optimize ML models on embedded ...

Abaka AI

Machine Learning Engineer

Mountain View, CA

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

Triwill Group

Our partner is looking for a Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn based in United States. This part-time instructor role is designed for an experienced AI and machine ...

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience handling multimodal data including text, images, audio, and other sensors. Experience in ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

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Audio Machine Learning information

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$84.5K

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How much do audio machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is an audio machine learning?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What does an audio machine learning do?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.

What are the key skills and qualifications needed to thrive in audio machine learning?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

More about Audio Machine Learning jobs

What cities are hiring for Audio Machine Learning jobs?

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What are the most commonly searched types of Audio Machine Learning jobs?

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Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Data Engineering Intern

Niles, IL • On-site

Jobtailor
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Posted 5 days ago

Job description

Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms
Work closely with the data science and software engineering teams to help generate new footing for data platforms and pipelines within the current architecture
Create, augment, and simulate audio data
Participate in the creation and maintenance of scalable data infrastructure
Collaborate with research scientists conducting audio machine learning experiments

Requirements
  • In progress of completing a Bachelor's or master's degree in computer science, mathematics, digital signal processing, or related field
  • Coursework or experience in data engineering
  • Experience with programming languages such as Python
  • Understanding of relational databases and/or experience with database architectures like PostgreSQL or Snowflake
  • Applicable academic or professional experience in audio-related disciplines such as room acoustics, audio signal processing, microphone and mic array characteristics, psychoacoustics, or music production
  • Some experience and understanding of cloud-based services like AWS and related tools is a plus
  • Experience with simulating and testing audio systems with mathematical modelling languages such as Python or MATLAB is a plus
  • Creativity and curiosity for future technologies while having a strong core of fundamentals
  • Currently authorized to work in the United States on a full-time basis
  • Shure will not sponsor applicants for work visas
Core Competencies

Demonstrates expertise in audio machine learning algorithms and data engineering, with a strong foundation in programming languages such as Python and experience in database architectures like PostgreSQL. Capable of collaborating with cross-functional teams to develop scalable data infrastructure and simulate audio data for research purposes.

Highest-signal resume keywords
  • Audio Machine Learning Algorithms
  • Data Engineering
  • Python Programming
  • PostgreSQL Database Architecture
  • Cloud-Based Services (AWS)
Hard Skills
  • Audio Signal Processing
  • Mathematical Modelling (Python, MATLAB)
  • Data Infrastructure Maintenance
  • Database Architecture
  • Data Simulation
Soft Skills
  • Creativity
  • Curiosity
Industry Keywords
  • Digital Signal Processing
  • Room Acoustics
  • Microphone Characteristics
  • Psychoacoustics
  • Music Production
Tools & Technologies
  • AWS
  • PostgreSQL
  • Snowflake
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