Spotify

1 week ago

Research Scientist - Generative Audio

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Conduct cutting-edge research in generative audio for Spotify’s Artist-First AI Music Lab, using approaches such as diffusion or flow matching. Focus on vocal/speech synthesis, post-training alignment (e.g., DPO, RLHF, PPO/GRPO/KTO), and iterative audio editing such as stem replacement and tempo/mood/structure changes. Run large-scale experiments, build practical applications at scale, collaborate across scientists and engineers, and publish findings at top conferences.

Location: London, Stockholm

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct generative-audio research using diffusion or flow-matching approaches across vocal/speech synthesis, post-training, and iterative editing.
•Develop post-training techniques for music generation, including preference alignment, reward model design/training, and reinforcement learning to improve output quality and controllability.
•Research and implement iterative music generation and audio editing capabilities such as stem replacement, instrumentation/mood/tempo/structure changes.
•Run large-scale experiments using Spotify’s infrastructure and build practical applications that advance listening experiences.
•Collaborate cross-functionally to craft innovative solutions and share results through publications, talks, and conferences.

Key Requirements

•Hold a Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
•Experience in generative modeling and/or machine learning, including areas such as music information retrieval, speech/audio processing, signal processing, probabilistic modeling, or computer vision.
•Deep expertise in one or more focus areas including vocal/speech synthesis, post-training alignment (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.
•Strong record of publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, NeurIPS, ICML, CVPR, or ECCV.
•Strong coding skills in Python, PyTorch, and NumPy.

Experience:Machine learningGenerative modelingMusic information retrievalSpeech processingAudio processingSignal processingProbabilistic modelingComputer vision

Education:PhD / Doctorate

Skills:Creative problem-solvingCommunicationCollaborationStakeholder management

Tech Stack:Diffusion modelsFlow matchingGenerative modelingMachine learningSpeech processingAudio processingSignal processingProbabilistic modelingComputer visionReinforcement learningPPOGRPODPORLHFKTOText-guided music editingPythonPyTorchNumPyICASSP

Company Brief

Spotify

Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Spotify

1 week ago

Research Scientist - Generative Audio

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: London, Stockholm

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct generative-audio research using diffusion or flow-matching approaches across vocal/speech synthesis, post-training, and iterative editing.
•Develop post-training techniques for music generation, including preference alignment, reward model design/training, and reinforcement learning to improve output quality and controllability.
•Research and implement iterative music generation and audio editing capabilities such as stem replacement, instrumentation/mood/tempo/structure changes.
•Run large-scale experiments using Spotify’s infrastructure and build practical applications that advance listening experiences.
•Collaborate cross-functionally to craft innovative solutions and share results through publications, talks, and conferences.

Key Requirements

•Hold a Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
•Experience in generative modeling and/or machine learning, including areas such as music information retrieval, speech/audio processing, signal processing, probabilistic modeling, or computer vision.
•Deep expertise in one or more focus areas including vocal/speech synthesis, post-training alignment (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.
•Strong record of publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, NeurIPS, ICML, CVPR, or ECCV.
•Strong coding skills in Python, PyTorch, and NumPy.

Experience:Machine learningGenerative modelingMusic information retrievalSpeech processingAudio processingSignal processingProbabilistic modelingComputer vision

Education:PhD / Doctorate

Skills:Creative problem-solvingCommunicationCollaborationStakeholder management

Company Brief

Spotify

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor