Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Salary: Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
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Salary: Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
Applied Machine Learning Intern WaveWorks is building applied AI systems for real-world industrial ... Process, clean, and structure large-scale audio/time-series datasets * Align data with ground truth ...
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. • ...
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. • ...
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. • ...
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. • ...
Machine Learning Engineer
Manhattan, NY · On-site
... real-time audio processing and automatic speech recognition (ASR). • Implementing advanced ... Required : • Hands-on machine learning experience in production environments • Experience ...
New
Machine Learning Engineer
Manhattan, NY · On-site
... real-time audio processing and automatic speech recognition (ASR). • Implementing advanced ... Required : • Hands-on machine learning experience in production environments • Experience ...
New
... or audio pipelines within Unreal Engine. • Stay current with ML and real-time AI trends and ... Required : • 5+ years of machine learning experience, with at least 2 years integrating models ...
... or audio pipelines within Unreal Engine. • Stay current with ML and real-time AI trends and ... Required : • 5+ years of machine learning experience, with at least 2 years integrating models ...
Machine Learning Engineer
Manhattan, NY · On-site
... real-time audio processing and automatic speech recognition (ASR). • Implementing advanced ... Required : • Hands-on machine learning experience in production environments • Experience ...
New
Machine Learning Engineer
Manhattan, NY · On-site
... real-time audio processing and automatic speech recognition (ASR). • Implementing advanced ... Required : • Hands-on machine learning experience in production environments • Experience ...
New
... or audio pipelines within Unreal Engine. • Stay current with ML and real-time AI trends and ... Required : • 5+ years of machine learning experience, with at least 2 years integrating models ...
... or audio pipelines within Unreal Engine. • Stay current with ML and real-time AI trends and ... Required : • 5+ years of machine learning experience, with at least 2 years integrating models ...
Innovate in audio machine learning through fundamental and applied research, advancing the state-of-the-art in audio playback, capture, generation, and editing. * Research and develop novel ML models ...
Innovate in audio machine learning through fundamental and applied research, advancing the state-of-the-art in audio playback, capture, generation, and editing. * Research and develop novel ML models ...
Machine Learning Engineer - Edge
Lowell, MA · On-site +1
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Machine Learning Engineer - Edge
Lowell, MA · On-site +1
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Machine Learning Engineer - Edge
Dover, NH · On-site +1
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Machine Learning Engineer - Edge
Dover, NH · On-site +1
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Machine Learning Engineer - Edge
Dover, NH · On-site
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Machine Learning Engineer - Edge
Dover, NH · On-site
$86K - $135K/yr
Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...
Responsibilities : • Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. • Advance core audio model serving metrics, including ...
Responsibilities : • Build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. • Advance core audio model serving metrics, including ...
AIML - Machine Learning Engineer - Computer Vision & Audio, MIND
Seattle, WA · On-site
$139K - $258K/yr
This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models.
AIML - Machine Learning Engineer - Computer Vision & Audio, MIND
Seattle, WA · On-site
$139K - $258K/yr
This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models.
Machine Learning Engineer
Santa Monica, CA · On-site
$165K - $200K/yr
Develop internal tools using ML to streamline workflows for production, art, animation, or audio ... Description * Full-time job with benefits. * Role is on-site in Santa Monica, CA. * Office is ...
Machine Learning Engineer
Santa Monica, CA · On-site
$165K - $200K/yr
Develop internal tools using ML to streamline workflows for production, art, animation, or audio ... Description * Full-time job with benefits. * Role is on-site in Santa Monica, CA. * Office is ...
Machine Learning Manager
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains. * Develop and improve classification systems for safety, security, abuse detection, and ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains. * Develop and improve classification systems for safety, security, abuse detection, and ...
Full Time Audio Machine Learning information
See salary details
$29.5K - $42.4K
16% of jobs
$48.3K is the 25th percentile. Wages below this are outliers.
$42.4K - $55.3K
19% of jobs
$55.3K - $68.2K
13% of jobs
The median wage is $69.7K / yr.
$68.2K - $81.1K
14% of jobs
$81.1K - $94K
10% of jobs
$100K is the 75th percentile. Wages above this are outliers.
$94K - $107K
6% of jobs
$107K - $119.9K
4% of jobs
$119.9K - $132.8K
5% of jobs
$132.8K - $145.7K
4% of jobs
$145.7K - $158.6K
8% of jobs
$158.6K - $171.5K
0% of jobs
$29.5K
$84.5K
$171.5K
How much do full time audio machine learning jobs pay per year?
As of Jun 19, 2026, the average yearly pay for full time 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 the difference between Full Time Audio Machine Learning vs Audio Data Scientist?
| Aspect | Full Time Audio Machine Learning | Audio Data Scientist |
|---|---|---|
| Required Credentials | Degree in Computer Science, Electrical Engineering, or related field; experience in machine learning and audio processing | Similar credentials; strong background in data science, statistics, and audio analysis |
| Work Environment | Research labs, tech companies, startups focusing on audio applications | Data-driven teams, analytics departments, R&D units in tech or entertainment industries |
| Employer & Industry Usage | Tech firms developing speech recognition, audio enhancement, or sound classification | Companies analyzing audio data for insights, product development, or quality control |
Both roles require expertise in audio processing and machine learning, often sharing similar educational backgrounds. Full Time Audio Machine Learning specialists focus on developing models and algorithms, while Audio Data Scientists analyze audio data to extract insights. The roles are closely related and often overlap, but the former emphasizes model development, whereas the latter emphasizes data analysis and interpretation.
What is a Full Time Audio Machine Learning job?
A Full Time Audio Machine Learning job involves developing and applying machine learning algorithms to process and analyze audio data, such as music, speech, or environmental sounds. Professionals in this role work on tasks like audio classification, speech recognition, sound synthesis, and noise reduction. They often collaborate with data scientists, audio engineers, and software developers to build AI-driven applications for industries like entertainment, healthcare, and virtual assistants. This position typically requires strong programming skills, experience with machine learning frameworks, and a background in audio signal processing.
What are the key skills and qualifications needed to thrive as a Full Time Audio Machine Learning Engineer, and why are they important?
To thrive as a Full Time Audio Machine Learning Engineer, you need a solid background in machine learning, digital signal processing, and proficiency in programming languages like Python or C++, often supported by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, and familiarity with audio analysis libraries and cloud computing platforms, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help you tackle complex audio data challenges and work effectively in multidisciplinary teams. These competencies are crucial for developing, optimizing, and deploying robust audio ML solutions that drive innovation in areas like speech recognition, music analysis, and sound classification.
What are some common challenges faced by professionals in full-time audio machine learning roles, and how can they be addressed?
Professionals in full-time audio machine learning roles often face challenges such as dealing with noisy or unbalanced datasets, managing high computational requirements for model training, and ensuring real-time processing capabilities. Overcoming these challenges typically involves applying advanced data augmentation techniques, leveraging specialized hardware (like GPUs), and optimizing models for efficiency. Collaboration with data engineers and domain experts is also crucial to refine data pipelines and validate model outputs. Staying updated with the latest research and open-source tools can further enhance problem-solving in this rapidly evolving field.
More about Full Time Audio Machine Learning jobs
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What job categories do people searching Full Time Audio Machine Learning jobs look for? The top searched job categories for Full Time Audio Machine Learning jobs are:
Full-time
Posted 23 days ago
Job description
Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
- Process, clean, and structure large-scale audio/time-series datasets
- Align data with ground truth and validate data quality
- Develop and evaluate modeling approaches for predictive maintenance
- Design and run structured experiments, analyze results, and document findings
- Improve data workflows and evaluation pipelines
REQUIRED QUALIFICATIONS
- Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
- Strong Python skills
- Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
- Comfortable working with real-world, noisy datasets
- Strong analytical and documentation skills
PREFERRED QUALIFICATIONS
- MS or PhD candidate in a relevant technical field
- Experience with audio processing or time-series feature engineering
- Familiarity with anomaly detection
- Exposure to signal processing concepts (FFT, spectrograms, filtering)
- Experience designing and evaluating structured ML experiments
- Self-driven and comfortable operating in an early-stage environment
WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.