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CohereCohereSan Francisco, CA

Member of Technical Staff, Search

Develops state-of-the-art search models including embeddings and rerankers, focusing on semantic search techniques for accuracy and efficiency. Requires proficiency in Python, ML frameworks like PyTorch/TensorFlow/JAX, and information retrieval experience.

Salary not listed
RemoteFullstack Engineering

About the role

Responsibilities

  • Design, train and improve upon cutting-edge search models.
  • Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
  • Work closely with the model serving team to ensure that inference is fast and stable.
  • Collaborate with product teams to develop solutions.
  • Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.

Requirements

  • Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.
  • Familiarity with training and using various information retrieval models.
  • Experience leveraging Large Language Models as part of training data or evaluation pipelines.
  • Strong communication and problem-solving skills.

Nice-to-haves

  • Experience building training and/or evaluation datasets for practical use cases.
  • Proficiency in other programming languages, such as C++ or Golang.
  • Experience using large-scale distributed training strategies with GPUs.

Skills

PythonPyTorchTensorFlowJAXInformation RetrievalLLMsTf-ServingXla/MlirC++Go
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