Machine Learning Engineer; User Growth & Marketing - Global E-Commerce

Position: Machine Learning Engineer (User Growth & Intelligent Marketing) - Global E-Commerce
Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: A70064

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Team Overview

The Tik Tok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience.

We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission:
To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

• Participate in optimizing Tik Tok e-commerce growth and marketing algorithms, including core capabilities such as user value modeling, personalized messaging, recommendations, and intelligent marketing.

• Establish a user lifecycle data and value system to address core pain points and business challenges related to Tik Tok Mall user growth.

• Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

• Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

• Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.

• Experience in C++ and Python; at least one of the Big Data tools (e.g., Hive, SQL, Spark, Map Reduce); at least one of the Deep Learning tools (e.g., Tensorflow, Pytorch).

• Strong foundation in algorithms and data structures, with excellent coding skills.

• Strong learning ability, curiosity, and good communication and teamwork skills.

• At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

• Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions.

• Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

Job Information

The base salary range for this position in the selected city is $129,960 - $246,240 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

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.

Legal Information

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local…