Machine Learning Engineer, Recommendation, Alliance E-Commerce

TikTok; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Job summary

TikTok is hiring for a role focused on developing large-scale ML models to personalize creator experiences and boost e-commerce performance. You will work on real-time interest modeling, ranking, and recommendations to drive conversions and GMV. Strong Python and C++ skills are essential, with hands-on experience in popular ML tools.

The role involves collaboration across product and engineering teams to ship scalable solutions that serve millions of merchants and creators on the platform.

Qualifications

• 3+ years of industry experience with solid ML foundation.
• Familiar with matrix factorization, GBDT, LTR, Word2Vec, DIN, DeepWide.
• Proficient in Python and C++.

Responsibilities

• Build and design large-scale ML algorithms to model real-time creator interests to boost conversion.
• Optimize TikTok's commodity relationship mining, ranking and recall for creators’ product recommendations to improve GMV.
• Analyze behavior of creators and merchants to craft targeted algorithm strategies and monetization.
• Support rapid development of TikTok's e-commerce business for millions of merchants.

Skills

Matrix Factorization

GBDT

LTR

Word2Vec

DIN

DeepWide

Python

C++

Tools

XGBoost

TensorFlow

Caffe

Job description

Responsibilities

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to 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.

Job 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

Qualifications

Minimum Qualifications

• 3+ years of industry experience with solid theoretical foundation of machine learning;
• Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide;
• Proficient in Python and C++ languages

Preferred Qualifications

• Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe;
• Have excellent learning ability and good communication and cooperation spirit.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $153900 - $300960 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.