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Machine Learning Engineer (Recommendation) - CapCut Job Opening In Singapore, Singapore – Now Hiring TikTok


Job description

About The Team

The 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 Responsibilities:
- 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.
- Support the production of scalable and optimised AI/machine learning (ML) models - Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
- Work with the relevant software platforms in which the models are deployed.



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.

Preferred Qualification: - Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, are preferred.

Required Skill Profession

Computer Occupations


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Are You Looking for Machine Learning Engineer (Recommendation) CapCut Job?

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The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Machine Learning Engineer (Recommendation) CapCut Positions?

The average salary range for a 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.

What Are the Key Qualifications for Machine Learning Engineer (Recommendation) CapCut?

Key qualifications for Machine Learning Engineer (Recommendation) CapCut typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Engineer (Recommendation) CapCut Job Success

TikTok interview tips for Machine Learning Engineer (Recommendation)   CapCut

Here are some tips to help you prepare for and ace your Machine Learning Engineer (Recommendation) CapCut job interview:

Before the Interview:

Research: Learn about the TikTok's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer (Recommendation) CapCut 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.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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