Tiktok - San Jose, CA

posted 6 days ago

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

About the position

The position is for a graduate role at TikTok, focusing on the application of large language models in e-commerce recommendations. The role involves research and development of innovative algorithms to enhance user engagement and satisfaction on the TikTok Shop platform. The successful candidate will work within a team of machine learning engineers and data scientists to solve real-world problems in e-commerce, leveraging the latest advancements in large language models.

Responsibilities

  • Continuously track and understand the latest research progress of large language models, including pre-training, fine-tuning, instruction fine-tuning, prompt engineering, multimodal large models, etc.
  • Actively explore the combined application of large language models and recommendation systems to solve practical problems in recommendation systems, including person-goods matching, commodity governance, interest exploration, commodity understanding, and generative recommendation.
  • Cooperate with the infrastructure team to improve the efficiency of large model training, develop large model services, and improve the stability and scalability of training and services.
  • Cooperate with scientists in the team to publish research results in top academic conferences and expand the influence of the team.

Requirements

  • Obtain a Master degree with a background in Computer Science, related technical field or equivalent industry experience, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
  • Hands-on experience in one or more of the following areas: Large Language Models (LLM), Machine Learning, Deep Learning, Recommender Systems, Data Mining, or Natural Language Processing.
  • Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
  • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental and Vision insurance
  • Short/Long term Disability insurance
  • Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 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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