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

Lead Machine Learning Engineer

Millbrae, CA · 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 ...

We turn every signal - yours and ours - into intelligence that every team, tool, and AI agent can ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

Help optimize performance and efficiency across data processing and training systems * Contribute ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

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 ...

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Showing results 1-20

Remote Audio Signal Processing Machine Learning information

See San Francisco, CA salary details

$34.8K

$99.5K

$202.1K

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

As of Aug 25, 2026, the average yearly pay for remote audio signal processing machine learning in San Francisco, CA is $99,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $133,100.00 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 Francisco, CA?

For Remote Audio Signal Processing Machine Learning jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in San Francisco, CA look for?

The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities near San Francisco, 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 Francisco, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,503 per year, or $47.8 per hour.

Lead Machine Learning Engineer

Care.coach

Millbrae, CA • On-site, Remote

$119K - $156K/yr

Full-time

Re-posted 23 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.