ML Systems Engineer: Multimodal & Recs Platform

ByteDance; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

ByteDance is looking for research-oriented engineers to work on cutting-edge multimodal recommendation systems. Candidates should hold a doctoral degree in Computer Science or related fields and have significant programming experience in a Linux environment.

The role focuses on developing high-performance frameworks and conducting research, offering a vibrant work environment and growth opportunities in Singapore's dynamic tech scene.

Qualifications

• Holds a doctoral degree, preferably in Computer Science or Software Engineering.
• Proficiency in programming languages (C/C++/Go/Python/Java) in a Linux environment.
• Deep understanding of and experience with large-scale distributed systems.

Responsibilities

• Conduct research on multimodal recommendation systems.
• Develop high-performance multimodal inference and training frameworks.
• Collaborate in the design of architectures for recommendation-ads and multimodal co-training.

Skills

C/C++/Go/Python/Java

Distributed system principles

Technical documentation

Education

Doctoral degree in Computer Science or related fields

Tools

TensorFlow

PyTorch

Kubernetes

Job description

ByteDance is looking for research-oriented engineers to work on cutting-edge multimodal recommendation systems. Candidates should hold a doctoral degree in Computer Science or related fields and have significant programming experience in a Linux environment.

The role focuses on developing high-performance frameworks and conducting research, offering a vibrant work environment and growth opportunities in Singapore's dynamic tech scene.