NLP Algorithm Engineer-Internationalization Short video

3-6 years
10 days ago
Job Description



Responsibilities
1. Participate in cutting-edge technology research in the field of NLP, including but not limited to: text mining, sentiment analysis, semantic understanding, knowledge graph, etc. 2. Responsible for the design, training and optimization of NLP models to ensure high performance and scalability 3. Continuously iterate and optimize existing NLP applications to improve the accuracy and coverage of algorithms 4. Collaborate across departments to combine NLP algorithms with business needs to improve product competitiveness and user experience 5. Track cutting-edge technologies in the field and explore new algorithms possibilities and drive innovation.

Qualifications
1. Bachelor degree or above in computer science, natural language processing, artificial intelligence or related fields, with solid basic computer knowledge 2. More than 3 years of NLP algorithm research or related work experience, rich practical experience in machine learning/deep learning 3. Proficient in at least one programming language such as Python, Go, C++ or Java 4. Familiar with commonly used NLP tools and frameworks ( Such as TensorFlow, PyTorch, NLTK, spaCy, etc.) 5. Excellent data analysis and problem-solving skills, with good written and oral communication skills 6. For awards or published in related competitions (such as ACM, Kaggle, etc.) Papers in related fields will be given priority.

JOB TYPE

Function

About
Job Source: jobs.bytedance.com

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies.
Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Helo, Vigo Video, Douyin, and Huoshan.
Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Helo, Vigo Video, Douyin, and Huoshan.

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