Machine Learning Engineering Manager

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.
Understand e-commerce operations and 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.
Design and develop various strategies, algorithms, and machine learning techniques to enhance the impact of data assets on business metrics.
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.
Qualifications
Minimum Qualifications
Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.
2+ years managing or leading a software engineering team.
5+ years of machine learning experience.
Familiar with common data mining techniques and machine learning algorithms (e.g., GBDT, XGBoost, FM, DFM), and well-versed in their principles and application scenarios.
Proficient in using 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
Candidates with team management experience and in-depth research in the following areas are preferred:
Experience with B-side (merchant-side) algorithms in e-commerce, particularly in optimizing algorithms related to merchant operations such as merchant and product traffic.
Algorithm 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.
#J-18808-Ljbffr