Job
Machine Learning Engineer Graduate (E-commerce Intelligent Customer Service) - 2024 Start (Phd) - Seattle
TikTok
•
Oct 20
💼 Graduate Job
Seattle
AI generated summary
- The ideal candidate for the Machine Learning Engineer Graduate position at TikTok's E-commerce Intelligent Customer Service in Seattle must hold a Ph.D. in Computer Science or a related field and have a strong background in software development. They should possess experience in programming languages like C++, Python, Go, or Java, as well as knowledge of NLP and LLM technologies. Proficiency in deep learning frameworks, understanding of machine learning algorithms, and experience in large-scale text data processing are also essential. Strong communication and teamwork skills are preferred.
- The machine learning engineer graduate will be responsible for developing and implementing language models for various e-commerce scenarios, including chatbot development, text generation, and machine translation. They will optimize translation quality, research cutting-edge technologies, and ensure efficient post-sale issue resolution and interactive pre-sale consultations.
Description
- Our team is responsible for developing cutting-edge NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Intelligent Customer Service under TikTok's global e-commerce business.
- We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Requirements
- Phd's degree in Computer Science or related fields.
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Experience with software development in at least one of the following programming languages: C++, Python, Go, Java
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Preferred Qualifications:
- Experience in NLP and LLM technologies.
- Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
- Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues.
- Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning.
- Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).
Education requirements
PhD
Area of Responsibilities
Data
Responsibilities
- Applying LLMs for a variety of multilingual and multimodal scenarios of e-commerce business.
- Establishing a generative-based AI chatbot that is capable of resolving post-sale issues and achieving pre-sale interactive consultations.
- Text generation, including product titles and descriptions, dialogue summary, auto-replying of emails and tickets, etc.
- Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.
Details
Work type
Full time
Work mode
office
Location
Seattle