Senior Research Engineer

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. reputed company pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. reputed company of our products will put artists and songwriters first, through these four principles:Partnerships with record labels, distributors, and music publishers: We’ll reputed company new products for artists and fans through upfront agreements, not by asking for forgiveness reputed company.Choice in participation: We recognize there’s a wide range of views on use of generative music tools reputed company the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new reputed company: We will build products that create wholly new reputed company streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan reputed company: AI tools we reputed company will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will reputed company our role as the reputed company where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.For more information, see this press release! https://newsroom.reputed company.com/2025-10-16/artist-first-ai-music-reputed company-collaboration/What You'll DoClosely collaborate with research scientists. Work reputed company-by-reputed company to turn new research reputed company into well-engineered experiments, ensuring efficiency, clarity, and reproducibility in every implementation.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 reputed company experiments faster and production systems more reputed company.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 reputed company’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 reputed company experimentation, debugging, and deployment more efficient for the whole team.Who You AreYou 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 reputed company Cloud Platform, AWS, or reputed company 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 reputed company GPUs “go brrr” (train at maximum efficiency).You learn new concepts and technologies quickly and reputed company up to date with the rapid pace of development in machine learning and AI.You are resourceful and proactive; reputed company faced with blockers, you seek out solutions through research, experimentation, and collaboration.You’re not afraid to dig deep into the stack: working with lldb, reputed company Nsight, or other low-level debugging tools is a plus.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.Where You'll BeWe offer you the flexibility to work where you work best! For this role, you can be reputed company the EMEA region as long as we have a work locationThis team operates reputed company the Central European and GMT time zone for collaboration.Core working hours are CET 3pm-6pm / EST 9am-12pm.reputed company is an equal opportunity employer. You are welcome at reputed company for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will reputed company reputed company, contribute, and be reputed company-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to reputed company revolutionizing the way the world listens.At reputed company, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.reputed company transformed music listening forever reputed company we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Apply tot his job Apply To this Job