Spotify · 2 hours ago
Senior Research Engineer - Music
Spotify is seeking a Senior Research Engineer to join their Artist-First AI Music lab, where they advance generative technologies for music. The role involves collaborating with research scientists, optimizing model training, and integrating models into production environments to enhance the artist-fan connection.
AudioCloud ComputingMusicMusic StreamingPodcast
Responsibilities
Close Collaboration: Work side-by-side with research scientists to 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
Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments
Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive
Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users
Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes
Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team
Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team
Qualification
Required
You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks
You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure
You understand how to debug problems in machine learning training code
You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents
You have experience optimizing code for performance and can make GPUs 'go brrr' (train at maximum efficiency)
You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI
You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration
You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like
You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies
Preferred
You're not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus
Benefits
Health insurance
Six month paid parental leave
401(k) retirement plan
A monthly meal allowance
23 paid days off
13 paid flexible holidays
Company
Spotify
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists.
H1B Sponsorship
Spotify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (140)
2024 (117)
2023 (169)
2022 (259)
2021 (172)
2020 (115)
Funding
Current Stage
Public CompanyTotal Funding
$2.09BKey Investors
ValueAct CapitalManhattan Venture Partners (MVP)Goldman Sachs Investment Partners
2023-02-10Post Ipo Equity
2021-02-25Post Ipo Debt
2018-04-03IPO
Recent News
2026-01-17
2026-01-16
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