Job Description :
- Design and implement ML algorithms and deep learning models through in-depth research and experiment with neural network models, parameter optimization, and optimization algorithms.
- Work to accelerate the distributed implementation of existing algorithms and models and enrich the parallel algorithms library.
- Conduct research to advance the state of the art in deep learning and provide technical solutions at scale for real world challenges in various scenarios.
- Apply ML algorithms/models to support research on computer vision, natural language processing and recommender systems that power products.
QUALIFICATIONS :
- Graduate degree or PhD in computer science, AI, applied math, automation, statistics, data science, operations research or a related field
- Passionate about AI-related research and innovations.
- Excellent algorithm design and development skills; solid understanding of deep learning, reinforced learning, pattern recognition and optimization algorithms.
- Proficient in one or more programming languages (e.g., C/C++, Java, Python); understanding of machine learning (deep learning) infrastructure and systems (e.g., Spark, XGBoost, Caffe, Tensorflow).
- Experience in large-scale data processing and deep learning
- Publication records in top-tier conferences or leading journals is a plus.
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