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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 support for data loading, checkpointing, and collection of agent interactions.
  • Profile workloads and improve GPU utilization, memory efficiency, and data throughput.
  • Develop tests, experiment tracking, and debugging tools while preserving research-result integrity.
  • Collaborate with researchers to translate ideas into maintainable software.

Requirements

  • Experience building ML training, inference, or data pipelines in Python.
  • Strong Python skills and hands-on experience with PyTorch, JAX, or comparable machine learning frameworks.
  • Understanding of ML experiments, including the effects of data, numerical precision, and implementation choices on results.
  • Sound software engineering practices involving testing, profiling, version control, and documentation.
  • Distributed training or data-processing experience with PyTorch Distributed, DeepSpeed, or Ray is valuable.
  • Familiarity with Hugging Face Transformers, vLLM, Weights & Biases, or MLflow is useful.
  • Experience with reinforcement learning systems or multimodal datasets is a plus.

Benefits

  • Competitive compensation and equity are offered.
  • Visa sponsorship is available.
  • The role is on-site in Zürich, Switzerland.

Salary: Competitive

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