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Research Engineer

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Research Engineer in Others

  • Zürich, Switzerland

Responsibilities

  • Turn research prototypes into tested, reusable data-generation, training, and evaluation pipelines.
  • Build distributed experiment infrastructure for data loading, checkpointing, and collecting agent interactions.
  • Profile workloads and improve GPU utilization, memory efficiency, and data throughput.
  • Develop tests, experiment-tracking, and debugging tools while preserving research results.
  • Collaborate with researchers to translate ideas into robust, maintainable software.

Requirements

  • Strong Python skills and hands-on experience with PyTorch, JAX, or a comparable machine-learning framework.
  • Experience building and debugging software for model training, inference, or large-scale data processing.
  • Understanding of machine-learning experiments and how data, numerical precision, and implementation choices affect results.
  • Sound software-engineering practices, including testing, profiling, version control, and documentation.
  • Distributed training or data-processing experience with PyTorch distributed, DeepSpeed, or Ray is valuable.
  • Familiarity with model-serving, machine-learning, or experiment-tracking tools is a plus; reinforcement-learning systems and multimodal datasets are also useful.

Benefits

  • Equity is provided.
  • Visa sponsorship is available.
  • On-site work in Zurich, Switzerland, or San Francisco, California.

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