h3About the Role /h3pJoin an AI research team as a Research Engineer, turning experimental code into production-ready systems. You will build the shared infrastructure and post-training pipelines that help research projects scale while preserving experimental integrity. /ph3What You'll Do /h3ullipTurn research prototypes into tested, reusable data generation, training, and evaluation pipelines. /p /lilipBuild distributed experiment infrastructure for data loading, checkpointing, and collecting agent interactions. /p /lilipProfile workloads and improve GPU utilization, memory efficiency, and data throughput. /p /lilipDevelop tests, experiment tracking, and debugging tools while ensuring changes preserve research results. /p /lilipWork with researchers to translate ideas into robust, maintainable software. /p /li /ulh3What We're Looking For /h3ullipStrong Python skills and hands-on experience with PyTorch, JAX, or a comparable machine learning framework. /p /lilipExperience building and debugging software for model training, inference, or large-scale data processing. /p /lilipUnderstanding of machine learning experiments and how data, numerical precision, and implementation choices affect results. /p /lilipSound software engineering practices, including testing, profiling, version control, and documentation. /p /lilipDistributed training or data processing experience with tools such as PyTorch distributed, DeepSpeed, or Ray is valuable. /p /lilipFamiliarity with model-serving, machine learning, or experiment tracking tools is a plus; reinforcement learning systems and multimodal datasets are also useful. /p /li /ulh3Compensation Benefits /h3pEquity is provided. Visa sponsorship is available. /ph3Location /h3pOn-site in Zurich, Switzerland. San Francisco, California is also listed as a work location. /p #J-18808-Ljbffr
Research Engineer Arbeitgeber: Clera
Als Arbeitgeber in einem dynamischen B2B-Startup im Bereich Bautechnologie bietet unser Unternehmen eine inspirierende Arbeitsumgebung in Berlin, die Kreativität und Innovation fördert. Wir legen großen Wert auf die persönliche und berufliche Weiterentwicklung unserer Mitarbeiter und bieten zahlreiche Möglichkeiten zur Weiterbildung sowie ein unterstützendes Team, das gemeinsam an der Lösung realer Probleme arbeitet. Mit flexiblen Arbeitsmodellen und einer offenen Unternehmenskultur schaffen wir ein Umfeld, in dem jeder Einzelne einen bedeutenden Beitrag leisten kann.
