Senior Machine Learning Engineer, Search engine, E-Commerce Alliance

About the role

The e-commerce alliance team aims to serve merchants and creators on the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

Responsibilities

• Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation, as well as various business indicators of sorting scenarios, including relevance, click-through rate, and conversion rate.
• Build machine learning solutions and algorithm strategies by analyzing and mining a large number of user queries to empower the merchant side and improve the overall matching ability of the platform.
• Use large-scale 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.

Requirements

Minimum Qualifications

• Proficient in at least one programming language: C++, Python, or shell, with a solid programming foundation and good programming style.
• Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
• Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and commonly used deep learning algorithms.

Preferred Qualifications

• Able to solve problems independently, with good teamwork and communication skills.
• Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.

About the company

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with additional offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

We strive to do great things with great people, leading with curiosity, humility, and a desire to make an impact. Every challenge is an opportunity to learn and innovate as one team. We embrace an "Always Day 1" mindset to achieve meaningful breakthroughs for ourselves, our company, and our users.

Pay

The base salary range for this position is $202,160 - $368,220 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. This role may also be eligible for additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave, short-term and long-term disability coverage, and life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).