康明斯欢迎最新从事过深度学习工程师等行业的优秀人才加入我们,康明斯(中国)投资有限公司将为您提供广阔的发展平台!
Description:
- 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.
Qualification & Experience:
- 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
五险一金 免费班车 年终奖金 弹性工作