Job Responsibilities

• Build AI and NLP capabilities in application scenarios based on techniques like large model pretraining, fine-tuning, and alignment.
• Understand user needs, summarize requirements, and classify them based on products, scenarios, and user feedback.
• Establish evaluation criteria for the effectiveness of large model applications and online performance validation.
• Stay updated on industry trends in AI and NLP and apply efficient methods and tools to improve algorithms.

Qualifications

• Master's degree or above in relevant fields such as computer science, machine learning, electronic information, mathematics, statistics, pattern recognition, or related disciplines.
• Experience in algorithm development for large-scale search, recommendation, or advertising systems.
• Proficiency in common deep learning and machine learning algorithms and frameworks.
• Strong programming skills with expertise in at least one commonly used programming language, such as Python, C++, or Java.
• Familiarity with classical algorithms and SOTA (State of the Art) models in fields like search, information extraction, question answering, reading comprehension, summarization, and language model pretraining.
• Knowledge of structured databases, such as MySQL.
• Excellent problem analysis and solving skills, along with strong communication and teamwork abilities.

Job Responsibilities

• Responsible for the evaluation of natural language processing (NLP) large model application products, including but not limited to developing detailed and comprehensive evaluation plans to ensure the quality and accuracy of data labeling and evaluation work. This includes creating, executing, and managing data labeling tasks to ensure continuous evaluation;
• Responsible for analyzing data labeling results to understand the model's performance on a quantifiable basis. Based on these analysis results, write detailed evaluation reports to showcase the model's performance and provide improvement recommendations when necessary;
• Write clear data labeling guidelines for evaluation tasks to ensure consistency and accuracy of evaluation results. This includes creating and maintaining standards and rules for data labeling, as well as distributing evaluation tasks to other team members or teams;
• Collaborate closely with product and technical teams, deeply understand product requirements and technical challenges, and provide valuable suggestions and solutions for product performance optimization and user experience enhancement.

Qualifications

• Bachelor's degree or higher in computer science, data science, or artificial intelligence-related majors is preferred;
• Basic understanding of the artificial intelligence industry and a certain level of interest in fields such as machine learning, deep learning, natural language processing, etc.;
• Candidates with experience in data analysis, data labeling, or related internships are preferred and should be familiar with common data labeling tools and processes;
• Strong self-motivation and an exploratory spirit, with the ability to quickly learn and master new knowledge areas and stay updated on the latest developments and applications in AI and data science;
• Strong teamwork and communication skills, with the ability to effectively collaborate with team members, solve problems, and improve work efficiency.

Job Responsibilities

• Responsible for building offline and real-time data warehouses and data pipelines for the core business of Langboat;
• Integrate models and algorithms into data pipelines, optimize efficiency, and meet business requirements for data processing;
• Dive deep into the business, understand and abstract business requirements logically, harness data value, and collaborate closely with algorithm engineers;
• Plan big data applications, provide data-related application guidance for products, algorithms, and services;
• Conduct data governance to enhance data usability and quality, abstract reusable data models for multiple businesses;

Qualifications

• Bachelor's degree or higher in computer science or a related field, with at least 2 years of relevant work experience in big data development; proficient in data warehouse modeling and offline/real-time ETL massive data processing techniques, skilled in SQL query analysis, big data architecture, and data governance;
• Familiar with big data frameworks such as Hadoop, Hive, Spark, Flink, Kafka, Elasticsearch, SQL/NoSQL databases, with experience in large-scale data processing;
• Proficiency in programming languages such as Python, Java, SQL, with strong coding skills;
• Data-sensitive, detail-oriented, skilled at identifying anomalies from data, and possessing excellent technical and business integration skills;
• Experience in natural language processing, search, deep learning, or related technical development is a plus.

Job Responsibilities

• Responsible for expanding and maintaining domestic financial industry clients;
• Responsible for setting annual sales targets and sales budgets, and being accountable for sales performance;
• Work closely with the product and engineering teams to understand customer needs and develop relevant solutions;
• Coordinate and arrange technical discussions with users, technical solution presentations, application system demonstrations, and other related activities;
• Provide improvement suggestions for the company's products based on customer needs and market changes;
• Responsible for prospecting, lead follow-up, bidding, contract signing, and collection of all aspects of business opportunities;
• Coordinate content arrangements for marketing activities and customer communications, among other related tasks.

Qualifications

• Bachelor's degree or higher, with a preference for a computer-related major;
• Over 10 years of experience in software or solution sales to major clients in the financial industry; prior experience working in financial institutions is a plus;
• Ability to effectively identify, prospect, and guide customer needs, with a track record of success in large projects;
• Strong communication and presentation skills, with the ability to independently present products to customers; background in the artificial intelligence industry is a plus;
• Strong sense of responsibility, with meticulous work habits and a diligent work attitude, along with good teamwork and interpersonal relationship skills.

Job Responsibilities

• Responsible for the delivery management of enterprise client projects;
• Communicate with clients to understand their requirements, create project plans, organize project teams for development, testing, and online operation;
• Effectively control the project scope, ensure on-time and quality delivery, and take responsibility for project acceptance;
• Provide project status reports, including but not limited to project weekly reports, to stakeholders within and outside the company;
• Participate in the establishment of the company's project management system and assist in developing overall project management plans.

Qualifications

• Bachelor's degree or higher in computer science or related fields;
• Over 3 years of experience in project management for ToB (business-to-business) enterprise-level software projects, with a preference for experience in AI, machine learning, or NLP-related projects;
• Familiarity with project management methods and project delivery process control;
• Ability to understand technical solutions and assist in task assignment and tracking;
• Strong communication and coordination skills, with a proactive and self-driven approach.

Job Responsibilities

• Responsible for the planning, design, and implementation management of products related to Natural Language Processing (NLP). Coordinate resources from algorithm and R&D engineering teams during product development and take responsibility for product competitiveness;
• Conduct competitive analysis, research customer needs, refine product design, formulate business models, and take responsibility for commercializing the product;
• Participate in and assist with pre-sales support, product marketing, and project delivery tasks.

Qualifications

• Three or more years of experience in ToB (business-to-business) product design, product management, or product development;
• Ability to perform product planning, product definition, product lifecycle management, and some engineering development management;
• A certain degree of market and business acumen, with a preference for those with successful experience in product commercialization;
• Bachelor's degree or higher in computer science or related fields;
• Preference for experience in NLP, pretrained models, large models, AIGC (Artificial Intelligence and Global Challenges), or search-related product development;
• Preference for candidates with experience in internet or enterprise-level product management.

Job Responsibilities

• Responsible for introducing, training, and presenting the company's existing products, technologies, and solutions to external parties;
• Deeply understand specific customer business scenarios, plan feasible solutions by leveraging the company's products and technical capabilities;
• Participate in and support the full lifecycle of NLP projects, including project requirement surveys, feasibility analysis, POC testing, project initiation, and the preparation of technical bid documents. Collaborate closely with various roles within the company, including sales, R&D, product, and project managers, to ensure project implementation and delivery;
• Identify user and industry needs, extract generic scenario solutions;
• Research high-quality solutions and products in the market, and conduct research and analysis on the strengths and weaknesses of similar products, similar technologies, and related products and solutions in the industry.

Qualifications

• Bachelor's degree or higher in a STEM (Science, Technology, Engineering, Mathematics) field, with at least 3 years of experience in ToB (business-to-business) industry software project consulting or pre-sales;
• Some understanding of artificial intelligence technologies such as NLP is preferred. Bonus points for prior experience in NLP pre-sales in the industry;
• Strong business understanding, ability to break down business problems into corresponding product and technical issues. Bonus points for relative expertise in the finance industry or AI field;
• Goal-driven, with strong execution and teamwork skills, a strong learning ability, and a positive attitude;
• Proficient in using tools like PPT, Xmind, PS, Visio, Word, Excel, Axure, etc. and skilled in using text, charts, prototypes, flowcharts, and other methods to communicate effectively.

Job Responsibilities

• 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 Responsibilities

• Build AI and NLP capabilities in application scenarios based on technologies such as large model pre-training, fine-tuning, and alignment;
• Understand users, summarize and categorize their requirements based on products, scenarios, and user feedback;
• Establish evaluation plans for the effectiveness of large model applications and online performance validation;
• Stay updated on industry trends in AI and NLP and apply efficient methods and tools to improve algorithms.

Qualifications

• Master's degree or above in relevant majors such as computer science, machine learning, electronic information, mathematics, statistics, or pattern recognition;
• Experience in algorithm development for large-scale search, recommendation, or advertising systems;
• Familiarity with common deep learning and machine learning algorithms and frameworks;
• Strong programming skills, proficient in at least one common programming language such as Python, C++, or Java;
• Familiarity with classic algorithms and state-of-the-art (SOTA) models in fields like search, information extraction, question-answering, reading comprehension, summarization, and language model pre-training;
• Familiarity with structured databases like MySQL;
• Excellent problem-solving and analytical skills, good communication skills, and the ability to work effectively in a team.

Job Description

• We are looking for an enthusiastic, eager-to-learn, and proactive Big Data Web Crawler Intern to join our team! As a Big Data Web Crawler Intern, you will be responsible for developing and maintaining web crawler programs used to collect a large amount of structured and unstructured data. You will assist in processing massive data, including but not limited to data collection, cleansing, parsing, storage, and analysis. Our goal is to build the best Chinese pre-training language corpus.

Job Responsibilities

• Strong hands-on ability with a solid coding foundation and good algorithmic thinking;
• Experience with Linux operating systems and some common storage and middleware tools such as Hbase, Redis, MongoDB, Kafka, etc.;
• Familiarity with web scraping tools and techniques, such as regular expressions and XPath;
• Interest and awareness of the internet industry, and staying updated with emerging technology trends;
• Strong learning ability and self-driven mentality, capable of quickly adapting to new environments and challenges;
• Good proficiency in English and the ability to read technical documentation.

Bonus Points

• Experience in secondary development on mainstream open-source web crawling frameworks such as Scrapy, Selenium, PhantomJS, Puppeteer, etc.;
• Experience in web data extraction using algorithmic models;
• Proficiency in using big data suites like MapReduce, Spark, Flink, etc.;
• Experience with open-source projects on GitHub is a plus;
• Participation in ACM competitions, mathematical modeling competitions, or other algorithmic competitions with awards is a plus.

Job Responsibilities

• Responsible for participating in the daily operations of new media platforms (WeChat Official Account, Bilibili, Zhihu, etc.) and keeping the platforms updated in a timely manner;
• Plan, write, format, and publish company news, market press releases, and other content in a timely and rhythmic manner;
• Collaborate with other departments to assist in the planning and production of operational promotional materials (posters, official account banners, event banners, etc.).

Qualifications

• Bachelor's degree or higher, with a strong foundation in writing. Preference for majors related to new media, advertising, communication, etc.;
• Understanding of the main traffic channels for technical user groups and familiarity with new media operations;
• Awareness of data-driven operations and the ability to analyze data feedback;
• Good communication skills, excellent goal awareness, and organizational coordination skills;
• Availability for a continuous internship of at least three months, with a commitment of at least 4 days of work per week.

Job Responsibilities

• 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.

Job Responsibilities

• 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.

Job Responsibilities

• 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.

Job Responsibilities

• 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.