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Tech Lead- Machine Learning Engineer - Data Recommendation (Capcut) Job Opening In San Jose – Now Hiring TikTok


Job description

Our team is responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of CapCut, including Jianying, CapCut, Hypic, so as to enhance content distribution efficiency and user growth efficiency
What You Will Do
- Optimize the core recommendation algorithms and strategy of video creation tools globally, including CapCut, Hypic, etc.
- Enhance user growth efficiency by optimizing distribution efficiency of content created by CapCut, Hypic, etc.
- Optimize user experiences during creation via a deep understanding of user behavior and state-of-the-art machine learning technologies.



Minimum Qualifications
- Strong coding skills with a solid foundation in data structure and algorithms.
- Strong theoretical knowledge and practical experience in machine learning.
- Excellent problem analysis and solving skills, with passion for tackling challenging problems.
- Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.
- Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, are preferred.

Required Skill Profession

Computer Occupations


  • Job Details

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Real-time Tech Lead Jobs Trends (Graphical Representation)

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Are You Looking for Tech Lead Machine Learning Engineer Data Recommendation (Capcut) Job?

Great news! is currently hiring and seeking a Tech Lead Machine Learning Engineer Data Recommendation (Capcut) 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:

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The average salary range for a varies, but the pay scale is rated "Standard" in San Jose. 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.

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TikTok interview tips for Tech Lead  Machine Learning Engineer   Data Recommendation (Capcut)

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