Research Scientist, Ultra-Large ML Systems (SysML) - 2027 Start

ByteDance; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ByteDance is seeking a Research Scientist for their Applied Machine Learning team to develop next-generation machine learning technologies. This role focuses on challenges in large-scale recommendation systems, requiring a PhD in a related field and expertise in distributed systems and programming.

The successful candidate will tackle significant problems such as multimodal representation fusion, enhancing recommendation accuracy, and cloud-native system development. Opportunities for growth and innovative challenges await you at ByteDance.

Qualifications

• Individuals who are completing or recently completed a PhD in a related technical discipline.
• Proficiency in programming languages such as C/C++/Go/Python/Java in a Linux environment.
• Deep understanding of distributed system principles.

Responsibilities

• Join a team committed to advancing machine learning core technologies.
• Work on challenges in unifying multimodal representations.
• Contribute to research on recommendation systems.

Skills

C/C++/Go/Python/Java

Distributed systems

Cloud-native system development

Machine learning frameworks

Education

PhD in Artificial Intelligence, Computer Science, or related discipline

Tools

Kubernetes

TensorFlow

PyTorch

Job description

ByteDance is seeking a Research Scientist for their Applied Machine Learning team to develop next-generation machine learning technologies. This role focuses on challenges in large-scale recommendation systems, requiring a PhD in a related field and expertise in distributed systems and programming.

The successful candidate will tackle significant problems such as multimodal representation fusion, enhancing recommendation accuracy, and cloud-native system development. Opportunities for growth and innovative challenges await you at ByteDance.