Algorithm Engineer

5G-Starlink Pte.

Singapore

Presencial

SGD 80.000 - 140.000

Jornada completa

Hace 3 días
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Descripción de la vacante

5G-Starlink Pte. in Singapore seeks a talented ML/NLP researcher to advance Huawei search, recommendations, and advertising semantics, while enhancing ranking and building text-content related innovations.

You will design algorithms and research theories in information retrieval and ordering models, exploring contrastive learning, active learning, and sparse methods, with practical model compression and fine-tuning in a fast-paced R&D environment.

Formación

  • Bachelor or above in Computer Science/AI/Math or related field.
  • Experience in ML/NLP research and pre-trained models.
  • Publications in top NLP/AI conferences is a plus.

Responsabilidades

  • Improve Huawei search/recommendation/ads semantics understanding and ranking.
  • Design and implement text-content related algorithms for optimization.
  • Explore information retrieval ordering models with learning strategies like contrastive/active learning.

Conocimientos

ML Algorithms
NLP Experience
Python/C++
Deep Learning

Educación

Bachelor or above in CS/AI/Math

Herramientas

PyTorch
TensorFlow
MindSpore
Git

Descripción del empleo

Responsible in Huawei search/recommendation/advertising scene semantics understanding, ranking optimization, text content and related direction algorithm innovation and execution.

Involved in the design of the algorithm and research theory in information retrieval and ordering model, research field included: Comparative Learning, active learning, sparse

Continuous optimization in model compression, distillation, accelerations, and fine-tuning of relevant task.

Skills / Qualifications:

Bachelor or above in Computer, Artificial Intelligent, Mathematics, Automated Engineering, Computer software or similar area

Possess excellence skills in algorithm and coding in machine learning/deep learning models, familiar with coding language Python/C++ and at least one of the deep learning frameworks (PyTorch/TensorFlow/MindSpore etc.).

Possess at least one year and above experience in natural language processing (NLP) practical and research on pre-trained model, deep semantic matching, model compression and related field.

Candidate that published on top-ranking NLP/AI conference or relevant fields such as ACL、EMNLP、NAACL、NIPS、ICLR、AAAI、IJCAI etc., or award receiver of the related top -ranking competition will be added advantage.

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