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Urgent! Lead Machine Learning Engineer - User Growth - Recommendation - Singapore Job Opening In Singapore, Singapore – Now Hiring TikTok
About the TeamThe TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok.
Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users.
We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibility
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Minimum Qualifications
• Master's degree (or higher) with a background in computer science, machine learning, or related fields.
• Experienced in leading projects and collaborating with teams across different timezones; • Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.
• Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework.
Have a deep understanding of data structures and algorithms.
• Good communication and teamwork skills are required.
Applicants must be passionate about learning new techniques and tackling challenging problems.
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Unlock Your Lead Machine Potential: Insight & Career Growth Guide
Real-time Lead Machine 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 Lead Machine 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 6124 jobs in Singapore and 5583 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Lead Machine 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 Lead Machine Learning Engineer User Growth Recommendation Singapore 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 Lead Machine Learning Engineer User Growth Recommendation Singapore 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 Lead Machine Learning Engineer User Growth Recommendation Singapore 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 Lead Machine Learning Engineer User Growth Recommendation Singapore interview at TikTok, research the company, understand the job requirements, and practice common interview questions.
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