Senior Applied Research Scientist – Personalization

Spotify

. Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches .

Posted 9/22/2026full-timeNew York City • New York • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing advanced machine learning techniques for speech synthesis and recognition, with a strong focus on generative models and scalable product development. Proven ability to collaborate across teams and communicate complex technical concepts effectively.

Highest-signal resume keywords

Machine Learning ExpertiseGenerative Model DevelopmentPython ProgrammingSpeech Synthesis TechniquesTransformers and GANs Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSpeech RecognitionSpeech SynthesisGenerative ModelsNatural Language ProcessingComputer VisionTransformersGANsDiffusion ModelsPyTorch

Soft Skills

Strong Communication Skills

Certifications & Qualifications

PhD Degree

Industry Keywords

Audio CodecsHigh-Quality ResearchScalable ProductsData CollaborationResearch and Development Best Practices

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
Expand speech use cases for different markets and products
Build and create models at scale to power the Spotify platform
Champion research and development best practices and share knowledge with researchers within Speak
Collaborate with engineering and data teams on new infrastructure and high-quality data
Improve speech recognition and speech synthesis pipelines
Turn proven research ideas into scalable products
Develop novel machine learning techniques and architectures for generative conversational speech-to-speech models
Explore methods to improve quality, understanding, and realism of speech technology

Requirements

What you’ll need

Strong background in machine learning (PhD degree on top of professional experience)
Experience with transformers, GANs, diffusion models, flow matching, VAEs, or audio codecs
Experience developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision
Strong experience with Python, particularly PyTorch
Strong communication skills and ability to explain technical ideas clearly to technical and non-technical people
Experience conducting high-quality research in an academic or professional setting

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodation support throughout the recruitment and interview process
Flexibility to work from home
In-person meetings with flexible work arrangements