Tiktok - San Jose, CA

posted 3 months ago

Full-time - Entry Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. Our global headquarters are located in Los Angeles and Singapore, with additional offices in major cities around the world. At TikTok, we believe that creation is at the core of our purpose, and we strive to help imaginations thrive. This philosophy extends to our teams, where we work together to overcome challenges, innovate, and grow as one cohesive unit. We are currently seeking talented engineers to join our team, which is focused on developing next-generation chatbot and machine translation solutions to enhance the TikTok Shopping experience globally. As a member of our team, you will be responsible for developing and optimizing intelligent customer service solutions for TikTok Shopping. This role involves close collaboration with product and operation teams to understand user intentions and design conversational solutions that enhance user experience, leveraging cutting-edge large language model (LLM) technology. You will have the opportunity to develop various natural language processing (NLP) models, including text classification, machine reading, and summarization, as well as prediction models for chatbot actions. Additionally, you will work on optimizing machine translation services to facilitate cross-region product listings and improve communication between buyers and sellers. This includes developing machine translation models tailored for conversational environments and text generation from multi-modal inputs. You will also be tasked with creating multi-modal AI-generated content (AIGC) models for product copywriting, which encompasses generating product titles, selling points, descriptions, and live broadcast scripts. Your work will directly contribute to improving business performance and saving human effort through the application of advanced AIGC models. The successful candidate will engage in NLP-related research and development, which includes building intent classifiers, prediction models, and generation models. You will design taxonomies, manage high-quality labeled data, train machine learning models, and monitor their online performance. This role requires a commitment to understanding the impact of our chatbot solutions quantitatively and continuously bridging business improvement actions with model optimization efforts. We are looking for candidates who are passionate about technology and eager to contribute to a dynamic and innovative team.

Responsibilities

  • Develop and optimize the intelligent customer service of TikTok Shopping.
  • Work closely with product and operation teams to understand user intentions and design conversational solutions.
  • Develop NLP models such as text classification, machine reading, and summarization.
  • Create prediction models for chatbot actions based on user shopping journeys.
  • Optimize machine translation services for cross-region product listings and buyer-seller communication.
  • Develop multi-modal AIGC models for product copywriting, including titles, selling points, and descriptions.
  • Build intent classifiers by designing taxonomy and managing labeled data.
  • Monitor the online performance of machine learning models and make necessary adjustments.
  • Quantitatively assess the impact of chatbot solutions and link business improvements to model optimizations.

Requirements

  • Currently pursuing a PhD degree in computer science, computer engineering, statistics, applied mathematics, data science, or related disciplines.
  • Experience with large language models, natural language generation, machine translation, and information extraction.
  • Work experience in e-commerce or the Internet industry is preferred.
  • Practical experience in NLP projects, particularly in dialogue systems and machine translation.
  • Familiarity with at least one programming language such as Go, Python, or Java.
  • Experience in big data development, including tools like Hive and Spark.
  • Candidates with published papers in relevant conferences (ACL, EMNLP, COLING, AAAI, IEEE TASLP) are preferred.

Nice-to-haves

  • Experience with machine reading and text mining.
  • Knowledge of advanced machine learning techniques and frameworks.
  • Familiarity with conversational AI and chatbot development.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% for dependents.
  • Health Savings Account (HSA) with company match.
  • Dental and vision insurance coverage.
  • Short/Long term disability insurance.
  • Basic life, voluntary life, and AD&D insurance plans.
  • Flexible Spending Account (FSA) options for healthcare and dependent care.
  • 10 paid holidays per year and 17 days of Paid Personal Time Off (PPTO).
  • 10 paid sick days per year.
  • 12 weeks of paid parental leave and 8 weeks of paid supplemental disability.
  • Mental and emotional health benefits through EAP and Lyra.
  • 401K company match, gym, and cellphone service reimbursements.
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