Cummins Inc. Deep Learning Intern – NLP / 深度学习实习生-自然语言处理 in Beijing, China
Deep Learning Intern – NLP / 深度学习实习生-自然语言处理
Research and development of natural language processing algorithms (text classification, semantic segmentation, entity recognition, etc.)
Apply natural language processing, deep learning and other domain algorithms to real-world scenarios, such as knowledge graphs, question and answer systems, recommendation systems, etc.
Optimize our current models. Troubleshoot and debug model. Help engineering team integrate it into the production application.
Assess needs and recommends experiments, data, and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data.
Use deep learning and machine learning algorithms, and advanced mathematical models to deliver insight, recommendations and solutions.
Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs observed outputs and Key Performance Indicators (KPIs).
Present compelling, validated stories to team members and stakeholders throughout and at the completion of the internship.
Undergraduate or Master in Statistics, Computer Science, Data Science, Mathematics or Auto Engineering or closely related STEM fields.
Good self-learning, analytical, writing and communication capability. Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline.
Demonstrated proficiency in deep learning and machine learning algorithms and concepts.
Familiarity with Python NLP/ML tools: Bert、Transformer、Attention、CRF、Sklearn、Numpy and at least one deep learning package; (Tensorflow/PyTorch/Keras).
Experience in developing, training and evaluating deep learning and machine learning models,- Experience in implementing deep learning architectures for natural language processing.1
Job SYSTEMS/INFORMATION TECHNOLOGY
Primary Location China-Beijing-Beijing-China, Beijing, CUMMINS HQ
Job Type Internship
Recruitment Job Type Student - Internship
Job Posting Dec 23, 2021, 11:04:58 PM
Unposting Date Ongoing
Req ID: 210008JK