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

$145,000 - $355,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

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.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• 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.