Research Scientist – Fixed-Term

Spotify

Research Scientist developing speech technology at Spotify, collaborating with engineers and researchers on state-of-the-art audio applications.

Posted 7/30/2026internshipStockholm • 🇸🇪 SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in speech technology research, including text-to-speech synthesis and automatic speech recognition, while applying modern deep learning frameworks like PyTorch to analyze and model real-world data. Strong collaboration skills are essential for translating research into impactful products.

Highest-signal resume keywords

PhD Or MSc In Machine LearningDeep Learning FrameworksSpeech Synthesis ResearchData Analysis And ModellingCreative Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Text-To-Speech SynthesisAutomatic Speech RecognitionNeural Audio CodecsVoice ConversionData CleaningData ManipulationModel EvaluationExperimentationReal-World Data AnalysisResearch Publication

Soft Skills

Creative Problem-SolverCollaboration

Tools & Technologies

PyTorch

Industry Keywords

Speech TechnologyAudio GenerationSpeech/Audio DomainsML Literature

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Conduct research in one or more areas of speech technology, such as text-to-speech synthesis, automatic speech recognition, neural audio codecs, or voice conversion.
Develop and evaluate models using real-world data at scale, from problem formulation and data analysis through to experimentation and iteration.
Collaborate with scientists, engineers, product managers, and designers across Spotify to translate research into product impact.
Contribute to a long-term research roadmap while working on a focused internship project with clear deliverables.
Have the opportunity to publish your work at relevant conferences.

Requirements

What you’ll need

You are currently enrolled in or have recently completed a PhD, MSc, or equivalent programme in machine learning, signal processing, or a related area.
Solid hands-on skills in sourcing, cleaning, manipulating, analysing, and modelling real data.
You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
Experience with modern deep learning frameworks (e.g. PyTorch).
Research experience in speech synthesis, speech recognition, audio generation, or related speech/audio domains.
Familiarity with current speech and audio ML literature (e.g. text-to-speech, neural audio codecs, voice conversion).

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities