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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 ...

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 ...

Spotify

Machine Learning Engineer - Personalization

$117.20K - $140.70K/yr

Spotify is a leading audio streaming platform, and they are seeking a Machine Learning Engineer to ... signals for recommendations by hands-on ML development. • Lead collaborations and align across ...

Authenticx

Data Scientist

Indianapolis, IN · Remote

Position Summary Our ideal candidate will spend most of the time developing machine learning models ... Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing * Proficiency with ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116.10K - $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 ...

GN Group

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 ...

GN Group

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 ...

Spotify

Machine Learning Engineer

... signals for recommendations by hands-on ML development. • Lead collaborations and align across ... processes. • You have hands-on experience with large cross-collaborative machine learning ...

Spotify

Senior Research Scientist - Music

$100.80K - $128.50K/yr

... 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 ...

The Pennsylvania State University

$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 ...

Spotify

Research Scientist - Music

... 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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All JobsRemote Audio Signal Processing Machine Learning Jobs

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 1, 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

Research Engineer, Sensor Signal Processing

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

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. 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.
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