Research Engineer

vor 11 Stunden

Berlin, Deutschland DeepRec.ai Vollzeit

Research Engineer – Training Optimisation and InfrastructureLocation: Berlin - Remote within Europe (±2 hours CET)Level: Mid to StaffPackage: Competitive salary plus equityThe OpportunityA Series A generative AI company is hiring a Research Engineer to drive optimisation across training strategy and ML infrastructure. The business builds state-of-the-art audio and music generation models and is backed by a leading generative AI fund. The team includes researchers and engineers from Google Brain, Meta FAIR, Amazon, ETH Zürich, and Max Planck.Role SummaryYou will focus on optimising end-to-end training pipelines for large generative models. This includes GPU-level performance tuning, distributed systems work, and driving efficiency across data, storage, orchestration, and experimentation systems.Key ResponsibilitiesDevelop and refine training strategies including parallelism approaches and precision choices for varied model scales and compute profilesProfile, debug, and optimise single and multi-GPU workloads using tools such as NsightImprove training pipelines covering data storage, data loading, distributed training, checkpointing, and loggingBuild scalable systems for experiment tracking, model and data versioning, and experiment insightsDesign, deploy, and maintain large-scale training clusters using SLURMIdeal ExperienceStrong hands-on experience optimising training and inference workloadsDeep understanding of GPU memory hierarchy and hardware performance limitsExperience tuning both memory-bound and compute-bound operationsKnowledge of efficient attention algorithms and their performance implications at different scalesNice-to-HaveExperience writing custom GPU kernels and integrating them into PyTorchFamiliarity with diffusion or autoregressive modelsUnderstanding of high-performance storage solutions such as VASTExperience running SLURM clusters at scaleWhy ApplyWork on frontier audio and music generation modelsInfluence training strategy and infrastructure at scaleJoin a high-calibre research and engineering team

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