Senior Platform R&D Engineer - Recommendation System

Tik Tok; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A leading company in social media technology seeks a candidate to design and develop intelligent toolkits for large-scale recommendation systems. This role requires a strong background in system design, programming, and the ability to lead technical projects independently. You will enhance R&D efficiency and oversee configurations in complex global environments, making a significant impact in the company's ecosystem.

Qualifications

• 3+ years of experience in designing and developing large-scale systems.
• Ability to independently lead technical design.

Responsibilities

• Design intelligent development toolkits for recommendation systems.
• Develop metrics-driven gray release systems for safe, stable releases.
• Enhance observability of recommendation systems globally.
• Build algorithm engineering toolchains to accelerate processes.
• Overhaul platform ecosystem architectures.

Skills

Proficiency in programming languages (Go/Python/C++)

Understanding of data structures and algorithms

Technical design and implementation

Product sense

Education

Bachelor's degree in Computer Science or related fields

Job description

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.

Qualifications

1. Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ 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).