Machine Learning Engineer (Search) - E-commerce - San Jose

$136,800 - $280,000/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

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 part of our commitment to this mission, we are expanding our E-commerce division, which connects customers to excellent sellers and quality products through innovative solutions like E-commerce live-streaming and short videos. Our team of applied machine learning engineers and data scientists is focused on enhancing the E-commerce search engine, developing algorithms and techniques that improve user engagement and satisfaction. We are passionate about applying large-scale machine learning to solve real-world problems in E-commerce, and we are looking for a Machine Learning Engineer to join our team. In this role, you will design and build large-scale machine learning algorithms aimed at optimizing various aspects of our E-commerce search engine, including ranking, query analysis, and correlation calculations. You will analyze a vast amount of user queries to empower merchants and enhance the platform's matching capabilities. Your work will involve deep analysis of creator and merchant behaviors, allowing us to develop targeted algorithm strategies that improve monetization efficiency and support the rapid growth of TikTok's E-commerce business. You will play a crucial role in serving millions of merchants and ensuring users have the best shopping experience possible. We are looking for someone who is not only technically proficient but also possesses a strong sense of teamwork and communication skills. You will be part of a dynamic team that thrives on creativity and innovation, and you will have the opportunity to contribute to the development of efficient business models that promote ecological development within the E-commerce space.

Responsibilities

• Design and build large-scale machine learning algorithms to optimize e-commerce search engines, including ranking, query analysis, 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.
• Analyze creator and merchant behavior using large-scale data to develop targeted algorithm strategies that enhance monetization efficiency and support industrial upgrading.
• Support the rapid development of TikTok's e-commerce business, serving millions of merchants and promoting a great shopping experience.

Requirements

• Proficient in at least one programming language such as C++, Python, or Shell, with a solid programming foundation and good programming style.
• Experience in algorithm development, familiar with Sparse LR, DFFM, Deep&Wide, and DSSM applications and optimizations on large-scale sparse data.
• Familiarity with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and commonly used deep learning algorithms.
• Ability to solve problems independently with strong teamwork and communication skills.

Nice-to-haves

• Experience in search engines, recommendation systems, and computational advertising-related fields.

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.
• Flexible Spending Account (FSA) options for healthcare 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.