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
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Un...
Seattle, WA · On-site
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara ...
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Un...
Seattle, WA · On-site
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara ...
... 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 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 Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
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 ...
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 +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
Ann Arbor, MI · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing--or a strong recent graduate with demonstrated project ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing--or a strong recent graduate with demonstrated project ...
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 ...
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 ...
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 ...
Machine Learning Engineer
Houston, TX · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing--or a strong recent graduate with demonstrated project ...
Machine Learning Engineer
Houston, TX · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing--or a strong recent graduate with demonstrated project ...
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.
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
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
Machine Learning Engineer
$120K - $180K/yr
You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...
Internship Audio Machine Learning information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do internship audio machine learning jobs pay per year?
As of Jun 20, 2026, the average yearly pay for internship audio machine learning 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 is the difference between Internship Audio Machine Learning vs Audio Signal Processing Intern?
| Aspect | Internship Audio Machine Learning | Audio Signal Processing Intern |
|---|---|---|
| Required Skills | Machine learning, programming, audio analysis | Signal processing, audio engineering, MATLAB |
| Work Environment | Research labs, tech companies, AI-focused teams | Audio labs, audio equipment companies, research institutions |
| Industry Usage | AI, speech recognition, music analysis | Audio engineering, sound design, acoustics |
Internship Audio Machine Learning focuses on developing algorithms for audio data, emphasizing machine learning techniques. In contrast, Audio Signal Processing Interns work on analyzing and manipulating audio signals using signal processing methods. Both roles often require programming skills and are found in tech and audio industries, but their core focus differs: AI-driven analysis versus traditional signal processing.
What cities are hiring for Internship Audio Machine Learning jobs? Cities with the most Internship Audio Machine Learning 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 Internship Audio Machine Learning jobs? States with the most job openings for Internship Audio Machine Learning jobs include:
Full-time
Posted 8 days ago
Job description
Job Summary:
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around model training strategy and infrastructure.
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.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around model training strategy and infrastructure.
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.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.