[HackerRank] Machine Learning Engineer Graduate (Data-eCommerce) - 2025 Start (PhD)

Tiktok-posted about 1 year ago
$145,000 - $355,000/Yr
Full-time • Entry Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
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The Machine Learning Engineer Graduate position at TikTok focuses on developing and optimizing large-scale machine learning algorithms for e-commerce applications. The role is designed for PhD graduates starting in 2025, aiming to enhance TikTok's e-commerce search engines and recommendation systems. Successful candidates will work within a collaborative team environment to drive innovation and improve user experiences on the platform.

  • Design and build large-scale machine learning algorithms to optimize e-commerce search engines, including query analysis, retrieval, ranking, and correlation calculations.
  • Build machine learning solutions and algorithm strategies by analyzing a large number of user queries to empower merchants and improve platform matching capabilities.
  • Support the rapid development of TikTok's e-commerce business, serving millions of buyers and sellers, and exploring efficient business models.
  • PhD Degree in computer science or relevant areas.
  • Solid foundation in data structure and algorithm design, proficient in programming languages such as Python, Java, C++, or R.
  • Familiarity with common machine/deep learning algorithms, including classification, regression, clustering methods, and mathematical programming.
  • Experience with at least one framework of TensorFlow, PyTorch, or MXNet, including training and deployment details.
  • Familiarity with big data frameworks, preferably MR or Spark.
  • Passion for designing machine learning algorithms for search engines and recommendation systems.
  • Experience in recommendation systems, online advertising, ranking, search, information retrieval, or large-scale data mining.
  • Publications in conferences such as KDD, NeurIPS, WWW, SIGIR, ICML, or experience in data mining/machine learning competitions like Kaggle.
  • 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with 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.
  • 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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