Machine Learning Engineering Manager - Global E-commerce(SEA)

Responsibilities

About the Team

The Global e-commerce team is a content

e-commerce business utilizing international short video products as

carriers. Our aim is to become the preferred choice for users

seeking to discover and purchase affordable, high-quality products.

We provide users with tailored, vibrant, and efficient consumption

experiences while enabling merchants to access robust and

dependable platform services in various scenarios, such as live

e-commerce and short video content e-commerce. Our vision is to

make affordable and high-quality products easily accessible,

enhancing the quality of life for all. We are actively seeking Tech

Lead Managers to contribute to our team's growth and product

success.

The team is responsible for

development of data analytics & data-empowered platform

capabilities across Global E-Commerce. Our mission is to empower

our users to leverage and extract actionable insights from data to

maximise their potential and efficiency on the global e-commerce

platform. In essence, we want to extract facts, attribute causes

and predict the future from oceans of data; and our fundamental

goals are to reflect business impact, leverage data to support key

decisions by lowering decision making complexity and optimising

decision making efficacy and efficiency.

Responsibilities

Participate in business operations of merchants, product growth,

major promotional events, and other business scenarios by

customizing algorithm strategies to support B-side (merchant-side)

operations and ensure continuous growth in merchants' GMV (Gross

Merchandise Value).

• Collaborate with product

operations and business teams to identify mutually beneficial

business models for merchants and the platform in various scenarios

(such as live streaming, major promotions, and merchant growth),

and implement them through technical solutions.

coordinate with upstream and downstream teams, continuously

optimizing data products based on data-driven insights, and

developing data strategy products such as data diagnostics and

attribution, as well as scenario-specific strategy tools.

algorithms, and machine learning techniques to enhance the impact

of data assets on business

metrics.

Qualifications

Minimum

Qualifications

Computer Science, Information Technology, Programming & System

Analysis, Science (Computer Studies) or related discipline.

engineering team.

learning experience.

data mining techniques and machine learning algorithms (e.g., GBDT,

XGBoost, FM, DFM), and well-versed in their principles and

application scenarios.

data mining and machine learning tools and common frameworks (e.g.,

TensorFlow, PyTorch), with a habit of continuous learning and

staying up to date with the latest research and advancements in the

machine learning field, to explore the application of big data

across various vertical domains.

Preferred

Qualifications

management experience and in-depth research in the following areas

are preferred :

(merchant-side) algorithms in e-commerce, particularly in

optimizing algorithms related to merchant operations such as

merchant and product traffic.

strategy experience in vertical industries (e-commerce, finance,

gaming, travel, real estate, etc.).

Experience in the development and optimization of advertising and

recommendation algorithms.

Job

Information

About

TikTok

TikTok is the leading destination for

short-form mobile video. At TikTok, our mission is to inspire

creativity and bring joy. TikTok's global headquarters are in Los

Angeles and Singapore, and we also have offices in New York City,

London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and

Tokyo.

Why Join Us

Inspiring

creativity is at the core of TikTok's mission. Our innovative

product is built to help people authentically express themselves,

discover and connect - and our global, diverse teams make that

possible. Together, we create value for our communities, inspire

creativity and bring joy - a mission we work towards every

day.

We strive to do great things with great

people. We lead with curiosity, humility, and a desire to make

impact in a rapidly growing tech company. Every challenge is an

opportunity to learn and innovate as one team. We're resilient and

embrace challenges as they come. By constantly iterating and

fostering an "Always Day 1" mindset, we achieve meaningful

breakthroughs for ourselves, our company, and our users. When we

create and grow together, the possibilities are limitless. Join

us.

Diversity &

Inclusion

TikTok is committed to creating an

inclusive space where employees are valued for their skills,

experiences, and unique perspectives. Our platform connects people

from across the globe and so does our workplace. At TikTok, our

mission is to inspire creativity and bring joy. To achieve that

goal, we are committed to celebrating our diverse voices and to

creating an environment that reflects the many communities we

reach. We are passionate about this and hope you are too.