Senior Platform R&D Engineer - Recommendation System (ByteDance Singapore)

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance Singapore is seeking a Senior Platform R&D Engineer for its recommendation system. You will design toolkits to improve R&D efficiency and build release strategies that are metrics-driven for safe deployments.

You will also enhance observability, create end-to-end tracing, and develop toolchains that accelerate algorithm development to deployment, while evolving platform architectures with data-driven assistants.

Qualifications

• Bachelor's degree or above in Computer Science or related fields.
• 3+ years of experience designing and developing large-scale systems.
• Proficiency in at least one programming language (Go/Python/C++) and solid data structures understanding.
• Ability to independently lead the technical design and implementation of complex systems and components.
• Strong product sense and ability to balance priorities across requirements, timelines and quality.

Responsibilities

• Design intelligent development toolkits for large-scale recommendation systems to enhance R&D efficiency.
• Develop business metrics-driven gray release systems for safe and efficient releases.
• Enhance observability of recommendation systems across multi-region and multi-data center environments, with end-to-end tracing.
• Build toolchains to accelerate end-to-end process from experimental algorithm development to deployment.
• Overhaul platform architectures and develop data intelligence assistants.

Skills

Go

Python

C++

Education

Bachelor's degree in Computer Science

Job description

Senior Platform R&D Engineer - Recommendation System (ByteDance Singapore)

Team: Technology

Employment Type: Regular

Job Code: A226681A

Responsibilities

• Design intelligent development toolkits for large-scale recommendation systems, providing tooling and productized solutions to enhance R&D efficiency.
• Develop business metrics-driven gray release systems to ensure safe, stable, and efficient release strategies and workflows.
• Enhance observability of recommendation systems in complex global environments (multi-region, multi-data center, multi-language), establish end-to-end tracing systems, and optimise issue attribution mechanisms.
• Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
• Overhaul platform ecosystem architectures and develop data intelligence assistants.

Qualifications

Minimum Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience in designing and developing large-scale systems.
• Proficiency in at least one programming language (Go/Python/C++) and solid understanding of data structures and algorithms.
• Ability to independently lead the technical design and implementation of complex systems and components.
• Strong product sense, with the ability to balance priorities across requirements, technical solutions, timelines, and delivery quality.

Preferred Qualifications

• Deep understanding of large language models (LLMs), familiarity with LLM principles and applications, and hands‑on experience in Agent system design.
• Experience in recommendation/advertising/search systems, or privacy compliance frameworks (GDPR, CCPA).

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With more than a dozen products including TikTok, Lemon8, CapCut and Pico, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua.