... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
... novel machine learning algorithms, and developing solutions to problems that don't have obvious ... Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
Senior Software Engineer - AI/Computer Vision (Camera Systems)
Waltham, MA · On-site
$132K - $174K/yr
... and Machine Learning to enable our customers to focus on what matters while providing faster ... Audio, Machine Translation, Natural Language Understanding and Computer Vision. Our AI team is ...
Senior Software Engineer - AI/Computer Vision (Camera Systems)
Waltham, MA · On-site
$132K - $174K/yr
... and Machine Learning to enable our customers to focus on what matters while providing faster ... Audio, Machine Translation, Natural Language Understanding and Computer Vision. Our AI team is ...
... and Machine Learning to enable our customers to focus on what matters while providing faster ... Audio, Machine Translation, Natural Language Understanding and Computer Vision. Our AI team is ...
... and Machine Learning to enable our customers to focus on what matters while providing faster ... Audio, Machine Translation, Natural Language Understanding and Computer Vision. Our AI team is ...
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
Quick apply
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and ...
DSP Engineer - Audio Tech
Framingham, MA · On-site
$147K - $171K/yr
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
DSP Engineer - Audio Tech
Framingham, MA · On-site
$147K - $171K/yr
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
DSP Engineer - Audio Tech
$147K - $171K/yr
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
DSP Engineer - Audio Tech
$147K - $171K/yr
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Experience working with or alongside machine learning systems applied to audio or signal processing, including integration of ML-based approaches into production DSP systems. * Demonstrated interest ...
Experience working with or alongside machine learning systems applied to audio or signal processing, including integration of ML-based approaches into production DSP systems. * Demonstrated interest ...
Experience working with or alongside machine learning systems applied to audio or signal processing, including integration of ML-based approaches into production DSP systems. * Demonstrated interest ...
Experience working with or alongside machine learning systems applied to audio or signal processing, including integration of ML-based approaches into production DSP systems. * Demonstrated interest ...
Senior Applied Data Scientist
Boston, MA · On-site +1
$150K - $180K/yr
... audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural ...
Senior Applied Data Scientist
Boston, MA · On-site +1
$150K - $180K/yr
... audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural ...
Senior Applied Data Scientist
Boston, MA · On-site +1
$150K - $180K/yr
... audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural ...
Quick apply
Senior Applied Data Scientist
Boston, MA · On-site +1
$150K - $180K/yr
... audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural ...
Sr. Data Scientist
Framingham, MA · On-site
They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will ... Company : Bose Corporation is a privately held company that designs and manufactures audio ...
Sr. Data Scientist
Framingham, MA · On-site
They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will ... Company : Bose Corporation is a privately held company that designs and manufactures audio ...
D. students with experience in some of the following: audio signal processing, microphone array processing, source separation, physics informed machine learning, outlier detection, and unsupervised ...
D. students with experience in some of the following: audio signal processing, microphone array processing, source separation, physics informed machine learning, outlier detection, and unsupervised ...
D. students with experience in some of the following: audio signal processing, microphone array processing, source separation, physics informed machine learning, outlier detection, and unsupervised ...
Quick apply
D. students with experience in some of the following: audio signal processing, microphone array processing, source separation, physics informed machine learning, outlier detection, and unsupervised ...
Audio Machine Learning information
See Massachusetts salary details
$32.2K - $46.3K
16% of jobs
$52.8K is the 25th percentile. Wages below this are outliers.
$46.3K - $60.4K
19% of jobs
$60.4K - $74.5K
13% of jobs
The median wage is $76.1K / yr.
$74.5K - $88.6K
14% of jobs
$88.6K - $102.7K
10% of jobs
$109.2K is the 75th percentile. Wages above this are outliers.
$102.7K - $116.8K
6% of jobs
$116.8K - $130.9K
4% of jobs
$130.9K - $145K
5% of jobs
$145K - $159.1K
4% of jobs
$159.1K - $173.2K
8% of jobs
$173.2K - $187.3K
0% of jobs
$32.2K
$92.2K
$187.3K
How much do audio machine learning jobs pay per year?
As of Jul 30, 2026, the average yearly pay for audio machine learning in Massachusetts is $92,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $123,400.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?
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.
Will MLE be replaced by AI?
In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.
What are the typical daily responsibilities of someone working in Audio Machine Learning?
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 is an Audio Machine Learning job?
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.
Which 5 jobs will survive AI?
Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.
What engineer makes $500,000 a year?
Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.
Do audio engineers get paid well?
Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
What are the most commonly searched types of Audio Machine Learning jobs in Massachusetts? The most popular types of Audio Machine Learning jobs in Massachusetts are:
What are popular job titles related to Audio Machine Learning jobs in Massachusetts? For Audio Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning jobs in Massachusetts look for? The top searched job categories for Audio Machine Learning jobs in Massachusetts are:
Full-time
Re-posted 13 days ago
Apple rating
8.0
Based on 675 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976