Machine Learning Engineer, Recommendation, E-Commerce Alliance

Tiktok • San Jose, CA

473d • $136,800 - $205,000

About The Position

The Machine Learning Engineer position at TikTok focuses on developing and optimizing machine learning algorithms to enhance the e-commerce experience on the platform. The role aims to improve conversion efficiency for creators and merchants by analyzing large datasets and implementing targeted strategies. The engineer will work on building scalable solutions that support TikTok's e-commerce business, ultimately enhancing user satisfaction and promoting healthy ecological development.

Requirements

• 2+ years of industry experience with a solid theoretical foundation in machine learning.
• Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide.
• Proficient in Python and C++ languages.
• Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe.
• Have excellent learning ability and good communication and cooperation spirit.

Responsibilities

• Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency.
• Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform.
• Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.
• Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: No Education Listed