Research Scientist - Generative Audio

2 months, 2 weeks ago
Full-time
Lead
Data Science and Analytics
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Conduct groundbreaking research in generative audio using diffusion or flow matching models.
  • Research vocal and speech synthesis, including ML-based audio processing and signal processing.
  • Research post-training techniques for music generation, including preference alignment, reward modeling, and reinforcement learning.
  • Research iterative music generation and audio editing capabilities such as stem replacement, instrumentation changes, mood changes, tempo changes, and structure changes.
  • Run large-scale experiments using Spotify's infrastructure and audience scale.
  • Create practical applications that use generative technologies to advance listening experiences.
  • Collaborate with scientists, engineers, product managers, designers, user researchers, and analysts on cross-functional solutions.
  • Contribute research that has direct impact on Spotify's products, tools, and services.
  • Publish findings, deliver talks, and attend top research conferences.

Requirements

  • Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
  • Previous industry experience is helpful.
  • Experience in generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • Deep expertise in at least one focus area: vocal/speech synthesis, post-training alignment techniques, or audio-to-audio generation and text-guided music editing.
  • Publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, or ICCV.
  • Strong coding skills in Python, PyTorch, and NumPy.
  • Ability to explain complex topics in simple terms and build strong relationships with colleagues and stakeholders.
  • Passion for building products that add real value to millions of people.
  • Enthusiasm for turning research ideas into products operating at scale.
  • Must be based within the EMEA region where Spotify has a work location.
  • Ability to collaborate during Central European and GMT working hours, with core hours of CET 3pm-6pm / EST 9am-12pm.

Benefits

  • Flexible work-from-anywhere option within the EMEA region where Spotify has a work location.
  • Collaboration-friendly schedule with defined core working hours.
  • Opportunity to work on products with impact across Spotify's organization.
  • Access to Spotify's extensive infrastructure and a large audience of more than 700 million monthly active users.
  • Supportive and inclusive workplace with equal opportunity hiring practices.
  • Reasonable accommodations available during the interview process.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

PhD Engineers (Mechanical, Electrical, Chemical, Civil...)

Gramian Consultancy Group Professional Services

Gramian Consultancy is seeking Computational Engineering Specialists to create reproducible terminal-based scientific and technical tasks for training and evaluating frontier AI agents across engineering disciplines.

Bash C C++ Julia Linux MATLAB Python
2 days, 5 hours ago

Staff Research Scientist

Turing 251-1K Internet Software & Services

Turing is hiring Research Scientists to develop rigorous benchmarks, datasets, and methodologies for evaluating and improving frontier AI systems in collaboration with leading AI labs and enterprises.

Machine Learning Python Reinforcement Learning
3 days, 5 hours ago

Binance Accelerator Program - Quantitative Trading Strategy Algorithm

Binance 5K-10K Capital Markets

Binance is seeking a Quantitative Trading Strategy Algorithm Intern for its 3–6 month Accelerator Program to research AI-driven trading strategies across traditional financial and on-chain assets.

Blockchain Deep Learning Machine Learning Python Reinforcement Learning
1 week, 5 days ago

Senior Research Scientist, Health Economic Modelling

Precision Medicine Group 251-1K Pharmaceuticals

Precision Medicine Group is seeking a Senior Research Scientist to develop R-based health economic models and evidence synthesis analyses for pharmaceutical and biotech clients.

C++ Git GitHub Python R Statistics
2 weeks, 1 day ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers