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Remote Audio Signal Processing Machine Learning Jobs

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... audio analysis, melody generation, and process automation. • Uphold ethical AI practices ...

Waabi

Research Engineer, Sensor Signal Processing

$155K - $269K/yr

... learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to ... Bonus: - Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal ...

STR

Senior Scientist - Radar Signal Processing

Boston, MA · On-site +1

$139K - $170K/yr

Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ... STR is committed to creating a collaborative learning environment that supports deep technical ...

STR

Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ... STR is committed to creating a collaborative learning environment that supports deep technical ...

STR

Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background ...

STR

Senior Scientist - Radar Signal Processing

Arlington, VA · On-site +1

$139K - $170K/yr

A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

NextSense

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 ...

Salas O'Brien, Inc.

Audio Consultant

Chicago, IL · On-site +1

$85K - $105K/yr

Digital Signal Processing (DSP) Systems * Audio-over-IP Systems * Recording and Broadcast Audio ... Fully remote available based on qualifications. Work Model : Hybrid. Travel: As needed for project ...

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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 Sep 13, 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.

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Remote Audio Signal Processing Machine Learning jobs near you
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Research Engineer, Sensor Signal Processing

San Francisco, CA • On-site, Remote

Waabi
See more jobs at Waabiexternal

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

New

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.

- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.

- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).

- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.

- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Qualifications:

- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.

- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.

- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.

Bonus:

- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.

- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.

- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers

- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.

- Solid knowledge in performance profiling and optimization.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.