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Remote Audio Signal Processing Machine Learning Jobs in San Jose, CA

Lead Machine Learning Engineer

Millbrae, CA ยท On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Senior ML/Research Scientist

Mountain View, CA ยท 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

San Francisco, CA ยท On-site +1

$140K - $190K/yr

You won't just train models in isolation; you will build end-to-end pipelines that extract signals ... Practical experience with Databricks and big data processing frameworks like Apache Spark , Apache ...

Staff Machine Learning Scientist

Brisbane, CA ยท On-site +1

$199K - $283K/yr

... molecular signals from blood. They will also work with computational biologists, molecular ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Staff Machine Learning Engineer

San Francisco, CA ยท On-site +1

$230K - $322K/yr

... signals, and cross-session user behavior modeling. Drive end-to-end model lifecycle execution ... processing and analytics frameworks; 6) deployment and operation of production systems in ...

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Remote Audio Signal Processing Machine Learning information

See San Jose, CA salary details

$34.6K

$99K

$201K

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

As of Jul 28, 2026, the average yearly pay for remote audio signal processing machine learning in San Jose, CA is $98,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $132,400.00 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.

What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in San Jose, CA? For Remote Audio Signal Processing Machine Learning jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in San Jose, CA look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities near San Jose, CA with the most Remote Audio Signal Processing Machine Learning job openings:
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in San Jose, CA as of July 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $98,981 per year, or $47.6 per hour.
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Care.coach

Millbrae, CA โ€ข On-site, Remote

$119K - $156K/yr

Full-time

Posted 25 days ago


Job description

Company Description
At care.coach, we are pioneering human-in-the-loop digital avatars that support behavioral health among the highest-need, highest-risk patients (typically elderly) both in the hospital and at home. Please check out the following video to understand how we help vulnerable patients living at home:
  • https://care.coach/2-min-demo

Job Description
Qualifications
We're looking for a highly experienced and mission-aligned ML engineer to join our team in a key engineering leadership role --
Minimum Requirements:
  • Doctorate in a related field
  • 8+ years of experience (including any applicable work in grad school) developing machine learning applications for practical use
  • 2+ years in an agile software development environment, preferably with an early-stage startup
  • 2+ years developing web-based applications, including web-based ML/data infrastructure

Additional Desired Experience:
  • Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation
  • Computer vision for human activity and sentiment classification
  • Development of data mining, analytics, dashboards and reporting systems
  • Engineering management (both personnel & projects)
  • LAMP stack w/ PHP, and Django web framework
  • Academic publications, conference speaker roles, or other public recognition as a top technical/domain expert

Location: Anywhere in US
Job Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa sponsorship)
Compensation: Competitive depending on qualifications
Company Headquarter: Located in Millbrae, CA
Job Type: Full-time
Additional Information
All your information will be kept confidential according to EEO guidelines.