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Platform R&D Engineer, Recommendation System Job Opening In Singapore, Singapore – Now Hiring TikTok


Job description

About The Team

The Recommendation Architecture Team is responsible for designing and developing recommendation system architectures for various products under the company.

We ensure system stability and high availability, optimize performance for online services and offline data pipelines, address system bottlenecks, and reduce operational costs.

We also abstract reusable system components and services to build recommendation and data middleware platforms, supporting rapid incubation of new products and empowering enterprise clients (ToB).

Responsibilities 1.

Design intelligent development toolkits for large-scale recommendation systems, providing tooling and productized solutions to enhance R&D efficiency.
2.

Develop business metrics-driven gray release systems to ensure safe, stable, and efficient release strategies and workflows.
3.

Enhance observability of recommendation systems in complex global environments (multi-region, multi-data center, multi-language), establish end-to-end tracing systems, and optimize issue attribution mechanisms.
4.

Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
5.

Overhaul platform ecosystem architectures and develop data intelligence assistants.



Minimum Qualifications
1.

Bachelor's degree or above, majoring in Computer Science, or related fields, with 1+ years of experience in designing and developing large-scale systems.
2.

Proficiency in at least one programming language (Go/Python/C++) and solid understanding of data structures and algorithms.
3.

Ability to independently lead the technical design and implementation of complex systems and components.
4.

Strong product sense, with the ability to balance priorities across requirements, technical solutions, timelines, and delivery quality.

Preferred Qualifications
1.

Deep understanding of large language models (LLMs), familiarity with LLM principles and applications, and hands-on experience in Agent system design.
2.

Experience in recommendation/advertising/search systems, or privacy compliance frameworks (GDPR, CCPA).

Required Skill Profession

Computer Occupations


  • Job Details

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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 Platform R&D Engineer, Recommendation System 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 Platform R&D Engineer, Recommendation System?

Key qualifications for Platform R&D Engineer, Recommendation System 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 Platform R&D Engineer, Recommendation System Job Success

TikTok interview tips for Platform R&D Engineer, Recommendation System

Here are some tips to help you prepare for and ace your Platform R&D Engineer, Recommendation System 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.

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

During the Interview:

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Additional Tips:

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Platform R&D Engineer, Recommendation System 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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