Tiktok - Seattle, WA

posted 6 days ago

Full-time - Entry Level
Seattle, WA
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 tracking research progress, exploring practical applications of large language models, collaborating with infrastructure teams, and publishing research findings. This position offers a unique opportunity to work at the intersection of machine learning and e-commerce, contributing to innovative solutions that enhance user engagement and satisfaction.

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

  • Current or recent graduates with a background in Computer Science, related technical field or equivalent industry experience, with top artificial intelligence conference papers in machine learning, computer vision, natural language processing 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.
  • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).

Nice-to-haves

  • Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 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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