DetailsGradeSeniorEmploymentFull-timeEnglish levelC1, advancedAdditionalAdd to my applicationsAdd to my applicationsA cover letter for this jobAn email or a Telegram message to the recruiterWrite a letterDescriptionOriginal textAbout the roleResearch EngineerResponsibilities Work on generative audio systems across models, evaluation, and data Design experiments that separate genuine progress from noise Build evaluation and dataset pipelines that make model quality measurable and iteration faster Make sound trade-offs across quality, latency, reliability, and cost Requirements Comfort taking ownership in ambiguous problem spaces and staying engaged with the problem until it is solved Genuine interest in audio, music, and generative modeling Strong habits around evaluation, reproducibility, and performance Fluency in Python and PyTorch, or similar tools Especially relevant experience Generative modeling, including diffusion, autoregressive methods, or hybrids Audio ML, or adjacent experience that transfers well, such as image generation Multi-GPU or distributed training Benefits High ownership over important technical work Be at the forefront of AI-driven music innovation Opportunity to work on infrastructure at scale Competitive compensation and equity Flexibility in how you work Research Engineer What you’ll do Work on generative audio systems across models, evaluation, and data Design experiments that separate genuine progress from noise Build evaluation and dataset pipelines that make model quality measurable and iteration faster Make sound trade-offs across quality, latency, reliability, and cost What we’re looking for Comfort taking ownership in ambiguous problem spaces and staying engaged with the problem until it is solved Genuine interest in audio, music, and generative modeling Strong habits around evaluation, reproducibility, and performance Fluency in Python and PyTorch, or similar tools Especially relevant experience Generative modeling, including diffusion, autoregressive methods, or hybrids Audio ML, or adjacent experience that transfers well, such as image generation Multi-GPU or distributed training What we offer High ownership over important technical work Be at the forefront of AI-driven music innovation Opportunity to work on infrastructure at scale Competitive compensation and equity Flexibility in how you work ?%Is this job a fit for you?We compare skills, grade, work format and salaryCompare with my resumeKey skillsPythonPyTorchGenerative ModelsDiffusion ModelsAutoregressive ModelsAudio MLDistributed TrainingMulti-GPU trainingSalary estimate29,800PLNper monthMost often 23,700 to 40,200
SSportradar18 days agoStaff Forward Deployed AI Engineer (m/f/d)~29,700 – 35,600 PLN/moWarsawOnsiteStaff
