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About Langboat

Founded in 2021, Langboat Technology is an industry-leading cognitive intelligence company dedicated to providing global enterprises with a new generation of cognitive intelligence platforms based on natural language processing (NLP) technology to help them digitally transform and upgrade. Its main products are a series of engines (including search, generation, translation, dialogue, etc.) and domain-specific applications based on the "Mengzi Pre-trained Models".

About Langboat

Founded in 2021, Langboat Technology is an industry-leading cognitive intelligence company dedicated to providing global enterprises with a new generation of cognitive intelligence platforms based on natural language processing (NLP) technology to help them digitally transform and upgrade. Its main products are a series of engines (including search, generation, translation, dialogue, etc.) and domain-specific applications based on the "Mengzi Pre-trained Models".

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Join Langboat

Langboat is a young, open and freedom-loving team. It has gathered a group of curious, pursuing, skilled, and young partners who dream of changing the world with technology.

Why Choose Langboat

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Open and Free Team

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Innovative and Enterprising Culture

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Opportunity for Rapid Growth

Social Recruitment

Social Recruitment

NLP Engineer (Information Extraction)

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.

Campus Recruitment

Campus Recruitment

Algorithm Intern (Information Extraction)

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.

Working Environment

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Team Photos

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1st Anniversary Celebration

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Team Dinner

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Flower Planting for Women's Day

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Flower Planting for Women's Day

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Trampoline Activities

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Trampoline Activities

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Mid-Autumn Festival activities

Products

Business Cooperation Email

bd@langboat.com

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Address

11F, Block A, Dinghao DH3 Building, No.3 Haidian Street, Haidian District, Beijing, China


© 2023, Langboat Co., Limited. All rights reserved.

Business Cooperation:

bd@langboat.com

Address:

11F, Block A, Dinghao DH3 Building, No.3 Haidian Street, Haidian District, Beijing, China

Official Accounts:

ewm

© 2023, Langboat Co., Limited. All rights reserved.
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