ZipRecruiter

Log In

2

Remote Audio Signal Processing Machine Learning Jobs in Kingston, NY

MPI Systems

Field Service Engineer

Poughkeepsie, NY · On-site +1

$38 - $42/hr

The role combines hands-on field service, remote diagnostics, technical training, and customer ... Perform machine installations, repairs, preventive maintenance, calibrations, upgrades, and field ...

New

next page

Showing results 1-20

All JobsAudio Signal Processing Machine Learning JobsRemote Audio Signal Processing Machine Learning JobsRemote Audio Signal Processing Machine Learning Jobs in Kingston, NY

Remote Audio Signal Processing Machine Learning information

See Kingston, NY salary details

$28K

$80.2K

$162.9K

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

As of Aug 23, 2026, the average yearly pay for remote audio signal processing machine learning in Kingston, NY is $80,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $107,300.00 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 Kingston, NY?

For Remote Audio Signal Processing Machine Learning jobs in Kingston, NY, the most frequently searched job titles are:

What cities near Kingston, NY are hiring for Remote Audio Signal Processing Machine Learning jobs?

Cities near Kingston, NY with the most Remote Audio Signal Processing Machine Learning job openings:

Remote Audio Signal Processing Machine Learning jobs near you
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in Kingston, NY as of August 2026, with employment types broken down into 28% Internship, 43% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,196 per year, or $38.6 per hour.

Postdoctoral Associate - Freshwater Nitrous Oxide Modeling

Cary Institute of Ecosystem Studies

Millbrook, NY • On-site, Remote

$74K/yr

Full-time

Re-posted 14 days ago

Job description

This is a full time, exempt, fully benefitted position. The starting salary is $74,263.

Position summary

The Cary Institute of Ecosystem Studies invites applications for a postdoctoral associate in freshwater biogeochemistry and machine learning. The postdoc will collaborate on an NSF-funded project developing a knowledge-guided machine learning model to quantify global riverine nitrous oxide (N2O) emissions. The project combines process-based modeling with machine learning, and involves compiling and synthesizing global databases of riverine N2O measurements alongside large-scale geocomputation to upscale results across the global river network. The postdoc will have the opportunity to build interdisciplinary expertise spanning freshwater biogeochemistry, geospatial data science, and machine learning, and to contribute to research relevant to international climate assessments. Depending on interest and opportunity, there may be scope for the postdoc to engage in limited field-based research on riverine N2O dynamics, complementary to the core project.

Funding for the position is secured for 2 years. The initial appointment is for one year, with possibility of extension based on performance. The anticipated start date can be as early as September 2026, with flexibility. The position is based at Cary Institute in the beautiful Hudson Valley of New York, a short way north of New York City. The position may have locational flexibility for exceptional candidates. Cary Institute is home to a diverse, vibrant, and supportive community of colleagues.

Questions about the position and project may be directed to Dr. Taylor Maavara at Cary Institute.

Essential responsibilities

Design, plan, and execute scientific research in collaboration with the PI.

Compile, harmonize, and synthesize a global database of riverine N2O measurements and predictor variables from published and contributed sources.

Develop and calibrate a knowledge-guided machine learning framework and apply it via large-scale geocomputation across the global river network.

Present research findings in peer-reviewed papers, at scientific meetings, and in other forums.

Qualifications

Applicants should have expertise in freshwater or riverine biogeochemistry, particularly nitrogen cycling; strong quantitative skills, including experience with process-based modeling and/or machine learning methods; experience handling and synthesizing large, heterogenous environmental datasets; and familiarity with geospatial data science and large-scale geocomputation. A strong record of publishing peer-reviewed research is expected. Applicants should be self-motivated and comfortable working both independently and in close collaboration with the PI. The successful applicant must have completed a PhD in a relevant field before the start date of this position.

Working conditions

The work is primarily office-based. Occasional travel for meetings is required. Cary Institute operates on a 35 hour work week.

Closing date

Review of applications will begin July 27, 2026 and continue until the position is filled.

To apply

Visit our website at https://www.caryinstitute.org/... and complete our online job application. Submit a single file containing a brief cover letter, names and contact information for three professional references, and a curriculum vitae.

The Cary Institute is an Equal Employment Opportunity (EEO) employer. It is the policy of the Institute to provide equal employment opportunities to all qualified applicants without regard to rate, color, religion, sex, sexual orientation, gender identity, national origin, age, familial status, protected veteran or disabled status, or genetic information.

Employment Type: FULL_TIME

Apply