Tiktok - San Jose, CA

posted 3 days ago

Full-time - Senior
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. As a Senior Machine Learning Engineer in the Recommendation team for TikTok eCommerce, you will play a pivotal role in developing innovative algorithms and techniques that enhance user engagement and satisfaction. This position is part of a fast-growing e-commerce business that connects customers with excellent sellers and quality products through live-streaming, short videos, and commodity recommendations. Our team consists of applied machine learning engineers and data scientists focused on e-commerce recommendations, and we are excited to apply large-scale machine learning to solve real-world problems in this domain. In this role, you will participate in building large-scale e-commerce recommendation algorithms and systems, which include commodity recommendations, live stream recommendations, and short video recommendations. You will be responsible for building long and short-term user interest models, analyzing and extracting relevant information from vast amounts of data, and designing algorithms that efficiently explore users' latent interests. Additionally, you will design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, which includes building real-time data pipelines, feature engineering, model optimization, and innovation. You will also design and build supporting and debugging tools as needed to ensure the smooth operation of these systems. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and we aim to reflect the diverse communities we serve in our workplace. Join us in our mission to inspire creativity and bring joy to users around the world.

Responsibilities

  • Participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data, and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, model optimization and innovation.
  • Design and build supporting/debugging tools as needed.

Requirements

  • Bachelor or above degree in Computer Science or related fields with strong programming and problem-solving ability.
  • At least 3 years working experience in recommendation algorithms, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields.
  • Familiar with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep.
  • Experience in Deep Learning Tools such as TensorFlow or PyTorch.
  • Experience with at least one programming language like C++ or Python.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
  • Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
  • 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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