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Audio Data Scientist Jobs (NOW HIRING)

Overview We are seeking a full‑time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Experience working with unstructured data (text, images, audio, etc.) * Familiarity with data ...

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Experience working with unstructured data (text, images, audio, etc.) * Familiarity with data ...

Velvet is a data research company focused on building datasets for multimodal AI. They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and ...

Data Product Operations Lead

New York, NY · On-site

$125K - $175K/yr

As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This ... science, or similar * Systems thinker who can spot leverage points and design for scale and ...

As a Data Engineering Scientist, you'll work closely with a team of data scientists and engineering ... and audio stream data. You will also work with engineering and manufacturing experts in order to ...

Knowledge of NoSQL databases, data lakes and formats including text, image, sentiment and audio ... Data Science Certificate * Expert knowledge of data visualization tools and Python Coding

Data Scientist - TS/SCI w/Poly

Mclean, VA · On-site

$212K - $287K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Engineering, Data Science ... Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio ...

... and audio. We operate at a scale of hundreds of millions of documents, millions of users and ... Role Overview We are seeking a Data Scientist II with experience developing and deploying machine ...

Data Scientist II

San Francisco, CA · On-site

$118K - $184K/yr

... and audio. We operate at a scale of hundreds of millions of documents, millions of users and ... Role Overview We are seeking a Data Scientist II with experience developing and deploying machine ...

Data Scientist Lead

Long Island City, NY · On-site

$155K - $259K/yr

The Lead Data Scientist will build new AI enabled smart services that surprise and delight our customers and work with big data (text, images, audio & other) to solve real-world problems. Essential ...

The Lead Data Scientist will build new AI enabled smart services that surprise and delight our customers and work with big data (text, images, audio & other) to solve real-world problems. Essential ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... Visual / Audio / Speaking Able to access and interpret client information received from the ...

Showing results 21-40

Audio Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do audio data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for audio data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an audio data scientist?

An Audio Data Scientist is a professional who specializes in analyzing and interpreting audio data using statistical, machine learning, and signal processing techniques. They work with sounds, speech, and music to extract meaningful information, develop models, and create applications such as speech recognition, audio classification, and sound event detection. Their work often involves cleaning and preprocessing audio signals, feature extraction, and building predictive models to solve real-world problems related to audio data.

How does an audio data scientist typically collaborate with engineers and product teams on audio-related projects?

Audio Data Scientists frequently work alongside software engineers, product managers, and UX designers to develop and refine machine learning models for audio analysis, such as speech recognition or sound classification. They are often responsible for translating raw audio data into actionable insights, sharing findings, and integrating models into existing products. Regular cross-functional meetings and code reviews are common, ensuring that the models meet product requirements and perform accurately in real-world environments. Collaboration is essential, as feedback from other teams helps improve both the technical and user experience aspects of audio features.

What are the key skills and qualifications needed to thrive as an audio data scientist, and why are they important?

To thrive as an Audio Data Scientist, you need a strong background in machine learning, digital signal processing, and statistics, typically supported by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python or MATLAB, experience with audio analysis libraries (such as librosa or PyDub), and familiarity with machine learning frameworks (like TensorFlow or PyTorch) are essential. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These skills ensure the accurate extraction, modeling, and interpretation of complex audio data to drive innovation and actionable insights.

What is the difference between Audio Data Scientist vs Audio Engineer?

AspectAudio Data ScientistAudio Engineer
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning and statisticsDegree or certification in Audio Engineering, Sound Design, or related field; technical skills in audio equipment and software
Work EnvironmentData analysis labs, research teams, tech companies, often involving programming and data modelingRecording studios, live event venues, broadcasting stations, focusing on sound recording and mixing
Industry UsageTech companies, AI development, research institutionsMusic production, broadcasting, live sound, film post-production

While both roles involve audio, an Audio Data Scientist focuses on analyzing audio data using data science techniques, whereas an Audio Engineer specializes in recording, mixing, and producing sound. The roles differ in skills, tools, and work environments but may overlap in audio technology applications.

What are popular job titles related to Audio Data Scientist jobs?

For Audio Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Audio Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Scientist, Gemini Audio i18n, DeepMind

Manhattan, NY • On-site

Google Inc.
Software Development • 10K+ employees

Other

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

  • Bachelor's degree in Computer Science, Speech Recognition, Computational Linguistics, a related technical field, or equivalent practical experience.
  • Experience conducting research or development in Speech Recognition, Text-to-Speech (TTS), or Large Language Models (LLMs).
  • Experience coding in Python or C++ and using deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Experience working with audio data, speech processing, or multilingual datasets.
Preferred qualifications:
  • Master's degree or Ph.D. in Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Computational Linguistics, or a related field.
  • 3 years of experience in Large Language Models (LLMs) or multimodal foundation models.
  • Experience developing audio-to-audio (A2A) architectures, end-to-end speech models, or spoken dialog systems.
  • Experience scaling speech models across international languages, accents, or low-resource locales.
  • Publication record in speech or machine learning conferences (e.g., ICASSP, INTERSPEECH, NeurIPS, or ACL).
About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities
  • Create comprehensive evaluation sets and benchmarks to measure audio-to-audio (A2A) model performance across international languages, accents, and regional dialects.
  • Propose, prototype, and evaluate novel modeling techniques to improve A2A audio understanding, dialog, and audio generation capabilities with a focus on scalability.
  • Identify performance gaps in current multilingual audio models and collaborate with cross-functional research and engineering teams to deploy solutions.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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