Machine Learning Engineer, Recommendation, Alliance E-Commerce

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Job summary

TikTok Inc. in Seattle is seeking a seasoned ML Engineer to build and optimize large-scale algorithms that model real-time creator interests to boost conversion.

You will help optimize product recommendation ranking and recall for creators’ items, aiming to lift the platform’s GMV and provide a personalized shopping experience. This role involves deep data analysis of creator and merchant behavior, developing targeted algorithm strategies, and supporting rapid growth of TikTok's e-commerce

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: XGBoost, TensorFlow, Caffe.

Responsibilities

• Build and design large-scale machine learning algorithms to model real-time creator interests to improve conversion efficiency.
• Optimize TikTok's commodity relationship mining, ranking and recall of creators' product recommendations to improve GMV.
• Deeply analyze creator and merchant behavior to build targeted algorithm strategies to empower creators and merchants and boost monetization efficiency.
• Support rapid development of TikTok's e-commerce business, serve millions of merchants, and promote healthy ecological development.

Skills

ML theory

Algorithms

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.

• 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.

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.

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.