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Remote Audio Signal Processing Machine Learning Jobs

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 ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... and services, processing large volumes of data. This role involves collaborating with Data ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in ... You care about agile software processes, data-driven development, reliability, and disciplined ...

10a Labs

Machine Learning Engineer

... text processing pipelines, semantic embeddings, and vector search. • Clear communicator of ... audio, OCR, or deepfake classification. • Designing multilingual embedding systems with code ...

Spotify

Staff Machine Learning Engineer

... reward signals for recommendations by hands-on ML development • Promote and role-model best ... processes. • You have hands-on experience with large cross-collaborative machine learning ...

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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 May 31, 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

Senior Research Scientist - Music

Spotify

Remote

$100.80K - $128.50K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Spotify is a leading music streaming service, and they are seeking a Senior Research Scientist to conduct groundbreaking research in music generation and related domains. The role involves running large-scale experiments, creating practical applications, and collaborating with cross-functional teams to innovate and influence Spotify's products and services.
Responsibilities:
• Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based 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 700 million monthly active users.
• Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.
• Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
• Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.
• Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Qualifications:
Required:
• You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
• You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
• You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
• You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
• You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
• You are enthusiastic about learning more about turning research ideas into products operating at scale.
• You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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