Applied Scientist, TikTok E-Commerce - AI Customer Service, USDS
About the position The position involves developing advanced Natural Language Processing (NLP) and Machine Learning (ML) algorithms to enhance user experience on TikTok's e-commerce platform. The role focuses on creating AI-driven customer service solutions and improving service quality for merchants, ensuring a fair and thriving ecosystem for users. Responsibilities • Building next-generation AI customer services using LLMs within the TikTok e-commerce ecosystem to better serve our customers. • Collaborating 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 capable of resolving post-sale issues and achieving pre-sale interactive consultations. • Generating text, including product titles and descriptions, dialogue summaries, and auto-replies for emails and tickets. • Optimizing translation quality in various scenarios and language pairs in e-commerce, along with researching related cutting-edge technologies. Requirements • Bachelor's degree in Computer Science or related technical field. • 3+ years of working experience in machine learning, NLP, or computer vision. • Experience with software development in at least one of the following programming languages: C++, Python, Go, or Java. Nice-to-haves • Experience in NLP and LLM technologies. • Good sense of teamwork and communication skills, with practical experience in relevant business scenarios preferred. • Proficient in using at least one mainstream deep learning framework such as TensorFlow or PyTorch, with an understanding of distributed training and distillation acceleration. • Familiarity with processing methods and optimization experience on domain adaptation, small sample construction, text mining, and unsupervised/semi-supervised learning. • Knowledge of commonly used machine learning and deep learning algorithms, understanding basic network model structures (DNN/LSTM/CNN) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT), with practical experience in deep learning training and reasoning model tuning. • Experience in large-scale text data processing or cleaning using tools like Hadoop, Spark, Hive, or Flink. Benefits • Medical, dental, and vision insurance from day one. • 401(k) savings plan with company match. • Paid parental leave. • Short-term and long-term disability coverage. • Life insurance. • Wellbeing benefits. • 10 paid holidays per year. • 10 paid sick days per year. • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). Apply tot his job