Job Content

• Research NLP technology, especially focusing on information extraction related technology and algorithm;
• Improve algorithms in combination with the actual problems in business, and improve the effectiveness of algorithms;
• Focus on cutting-edge dynamics of NLP technology, apply efficient methods and tools in SOTA to improve current algorithms.

Qualifications

• Graduated from computer / machine learning / electronic information / mathematics / statistics / pattern recognition related master degree or above;
• 1-3 years of full-time relevant experience;
• Familiar with common deep learning and machine learning algorithms and frameworks;
• Solid programming foundation, proficient in at least one common programming language, such as Python/C++/Java;
• Familiar with information extraction tasks, such as entities, events, keywords, topics, etc.;
• Excellent problem solving skills, good communication skills and teamwork skills.

Job Content

• Research NLP technology, especially focusing on information extraction related technology and algorithm;
• Improve algorithms in combination with the actual problems in business, and improve the effectiveness of algorithms;
• Focus on cutting-edge dynamics of NLP technology, replicate SOTA, and apply efficient methods and tools in SOTA to improve current algorithms.

Qualifications

• Graduated in computer / machine learning / electronic information / mathematics / statistics / pattern recognition or other related fields;
• Familiar with common deep learning, machine learning algorithms and frameworks;
• Solid programming foundation, proficient in at least one common programming language, such as Python/C++/Java;
• Familiar with information extraction tasks, such as entities, events, keywords, topics, etc.;
• Excellent problem solving skills, good communication skills and teamwork skills.

Remarks

• Non-school recruitment, only recruit interns. Appearance required. Minimum of six months of internship required, five days a week.

Job Content

• Application and development of pre-training related technologies, including but not limited to model design, implementation, tuning, and application to specific problems.

Qualifications

• Master's degree or above, majoring in computer or related field;
• Ability to read English literature;
• Have some machine learning foundation;
• Have a strong interest in NLP.

Bonus Items

• Award-winning experience in ACM, NOI, Kaggle, Tianchi and other competitions;
• Knowledge of two programming languages other than Python;
• proficient in big data tools such as Spark and HDFS;
• Have first-author papers in top-tier conferences.
• Experience in the development of pre-trained models;
• Be familiar with the Hugging Face or EleutherAI community.

Remarks

• Non-school recruitment, only recruit interns. Appearance required. Minimum of six months of internship required, five days a week.

Job Content

• Establish a leading voice recognition technology system. including but not limited to the following aspects: building a multilingual speech recognition model and establishing a high-performance speech recognition system, including acoustic model training, speaker recognition, speech enhancement, streaming/non-streaming speech recognition, speech translation, domain adaptation, speech error correction and other technologies;
• Develop speech recognition models and products for new languages, industries and applications in combination with business requirements, and provide various solutions for practical application scenarios.

Qualifications

• Familiar with theories of speech recognition, machine learning, etc. Experience in speech recognition related projects, proficient in using Pytorch, TensorFlow and other deep learning frameworks, familiar with common speech related deep learning frameworks such as kaldi, espnet, wenet, etc.;
• Familiar with speech data collection and cleaning, in-depth grasp of speech recognition framework based on LSTM, CNN, Transformer, in-depth understanding of multilingual speech recognition, speech enhancement, pre-training, domain adaptation and other related principles. Experience with hands-on speech processing related projects is a plus;
• Study in Computer/Speech Recognition/NLP related field. Influential academic papers published in top journals and major international conferences on speech recognition are preferred, or open source contributors are preferred;
• Strong programming skills. Engineering and product experience in the development of large-scale speech recognition systems is a plus.

Quality Portrait

• Talent in speech recognition, machine learning and artificial intelligence. Deep understanding and experience in deep learning, speech recognition, Transformer, pre-training;
• Career-minded, enterprising, sense of responsibility and strong learning ability, active work, good communication skills and teamwork ability.

Remarks

• Non-school recruitment, only recruit interns. Appearance required. Minimum of six months of internship required, five days a week.

Job Content

• Participate in the work planning and business direction discussion of Langboat Cognitive Intelligence SaaS products;
• Complete PRD writing, prototyping and organizing and managing R&D with the assistance of mentor;
• Investigate the domestic and foreign leading technology and product form in the direction of pre-training large model.

Qualifications

• 985, 211 undergraduate degree or above, computer-related major preferred;
• Knowledge of artificial intelligence industry, familiar with the basic concepts of SaaS products;
• Hands-on experience in product design, including but not limited to PRD writing, product prototyping, proficiency in the use of common tools for product managers;
• Strong self-motivated ability to learn new areas of knowledge quickly and proactively, focusing on the development of innovative technologies and products.

Remarks

• Non-school recruitment, only recruit interns. Appearance required. Minimum of six months of internship required, five days a week.