Research Scientist, Ultra-Large ML Systems

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

100+ mil users

Industry experts

Flexible hours

Job summary

BYTE DANCE PTE. LTD. Singapore invites exceptional researchers to join the Applied Machine Learning (AML) team to advance large-scale recommender systems, NLP, CV, and multimodal models. You will research and deploy core ML technologies across on-device and cloud platforms.

Candidates should have a PhD or be near completion in AI/CS, strong programming in Python/C/C++, and solid distributed systems knowledge; experience with TensorFlow or PyTorch is preferred.

Qualifications

• PhD or near completion in AI/CS/Engineering.
• Proficiency in one or more programming languages (C/C++/Go/Python/Java) in Linux.
• Deep understanding of distributed systems.

Responsibilities

• Research and deploy core ML technologies for large-scale recommender systems and multimodal models.
• Collaborate across NLP, CV, multimodality and recommendation domains to advance ML capabilities.

Skills

Programming languages

Distributed systems

Education

PhD in AI/CS/Engineering

Tools

Kubernetes

TensorFlow/PyTorch

Django/Flask

Job description

BYTE DANCE PTE. LTD. Singapore invites exceptional researchers to join the Applied Machine Learning (AML) team to advance large-scale recommender systems, NLP, CV, and multimodal models. You will research and deploy core ML technologies across on-device and cloud platforms.

Candidates should have a PhD or be near completion in AI/CS, strong programming in Python/C/C++, and solid distributed systems knowledge; experience with TensorFlow or PyTorch is preferred.