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Remote Audio Signal Processing Machine Learning Jobs

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Machine Learning Engineer - Cloud

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *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 - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Audio ML Engineer II

New York, NY · Remote

$160K - $210K/yr

Master's or PhD in Computer Science, Machine Learning, Signal Processing, or related field. * Fresh ... Remote Fridays * Happy Hours and other local events Compensation Range: $160K - $210K

This is a fully remote, flexible contract role built for experienced ML and engineering ... Document sequential reasoning processes - how a problem is broken down, what tools are selected ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... Natural Language Processing: LLMs, text classification, information extraction, retrieval systems ...

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Superb skill in explaining intricate logical processes and methodologies clearly. * Critical ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Design, train, evaluate, and deploy machine learning models across text, image, audio, and ... Natural Language Processing: LLMs, text classification, information extraction, retrieval systems ...

... audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than ...

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... data analysis, machine learning, and signal processing. Interns will have the opportunity to ...

... audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than ...

... audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than ...

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Remote Audio Signal Processing Machine Learning information

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$29.5K

$84.5K

$171.5K

How much do remote audio signal processing machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote audio signal processing 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 Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

More about Remote Audio Signal Processing Machine Learning jobs
What cities are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities with the most Remote Audio Signal Processing Machine Learning job openings:
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What states have the most Remote Audio Signal Processing Machine Learning jobs? States with the most job openings for Remote Audio Signal Processing Machine Learning jobs include:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs are:
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Senior ML/Research Scientist

Senior ML/Research Scientist

NextSense

Mountain View, CA • On-site, Remote

$116K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Company Description
About NextSense:
NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.
Job Description
About the Job:
As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. You will design, implement, and lead innovative research to develop novel digital biomarkers and applications for various neurological conditions. You will work with industry partners and academic leaders on clinical trials and collaborative research projects. You will collaborate with an interdisciplinary team of scientists, medical specialists, HW/SW engineers, and product managers to translate fundamental scientific knowledge into clinical and consumer products.
Responsibilities:
  • Design, execute, and present cutting-edge research to advance our biosensing earbud technology.
  • Apply signal processing, machine learning, and statistical analysis to decode biosignals.
  • Develop algorithms for automated detection of healthy and pathological neural signatures
  • Contribute to the implementation of data analysis pipelines for large-scale physiological signals from clinical studies.
  • Collect, analyze, and interpret data for pilot and clinical studies.
  • Collaborate with engineering and product teams to integrate the latest research into prototypes and products.
  • Assist in writing peer-reviewed publications and conference abstracts.
  • Engage in building tools, libraries, or processes that are used throughout the company or in the open-source community.

Qualifications
Minimum Qualifications:
  • Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience
  • Strong Python programming skills; ability to demonstrate mastery through work experience or personal projects
  • Strong technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization
  • Excellent written, verbal, interpersonal communication, and presentation skills
  • Passionate about neurotechnologies and their potential to benefit society

Preferred Qualifications:
  • 5+ years industry experience
  • Comfortable conducting conventional and mobile EEG recordings or willing to learn
  • Experience with cloud-based platforms (GCP preferred)
  • Ability to strive in a fast-paced startup environment
  • Demonstrated productive publishing record
  • Experience with version control (e.g., Git)

Additional Information
Benefits:
  • Our careers benefits include but are not limited to the following:
  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:
Mountain View, CA (not a remote position)
Employment Eligibility:
At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future. Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.