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Urgent! Machine Learning Engineering Manager - Global E-commerce (SEA) Job Opening In Singapore, Singapore – Now Hiring TikTok
About the TeamThe 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.
- 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.
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 (., 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 (., 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, .
- Experience in the development and optimization of advertising and recommendation algorithms.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1469 jobs in Singapore and 1309 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TikTok is currently hiring and seeking a Machine Learning Engineering Manager Global E commerce (SEA) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineering Manager Global E commerce (SEA) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineering Manager Global E commerce (SEA) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning Engineering Manager Global E commerce (SEA) interview at TikTok, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TikTok's products or services and be prepared to discuss how you can contribute to their success.
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