Logo of Huzzle

Job

Machine Learning Engineer Graduate (E-commerce Intelligent Customer Service) - 2024 Start (MS)

Logo of TikTok

TikTok

Oct 19

💼 Graduate Job

Seattle

AI generated summary

  • The ideal candidate for the Machine Learning Engineer Graduate position at Tiktok should have a Master's degree in Computer Science or related fields, a background in Software Development or a related technical discipline, proficiency in programming languages such as C++, Python, Go, or Java, experience in NLP and LLM technologies, and knowledge of deep learning frameworks like TensorFlow/PyTorch. They should also possess expertise in machine learning algorithms, network model structures, and text representation methods, as well as experience in large-scale text data processing using tools like Hadoop/Spark/Hive/Flink. Strong teamwork and communication skills are also required.
  • The Machine Learning Engineer Graduate at TikTok will be responsible for developing AI customer services, collaborating with cross-functional teams, applying LLMs in various e-commerce scenarios, creating a generative-based AI chatbot, and optimizing text generation and machine translation for multiple languages and scenarios.

Graduate Job

DataSeattle

Description

Team Introduction:

  • 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

  • Master'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.
  • 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

Masters

Area of Responsibilities

Data

Responsibilities

  • Building next-generation AI customer services using LLMs within the TikTok e-commerce ecosystem to better serve our customers.
  • Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.
  • 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