ByteDance

2 days ago

R&D Engineer, Training Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Build and optimize Ray-based distributed computing infrastructure to support large-model training. You’ll develop features and performance improvements across Ray, KubeRay, and related ecosystem frameworks, and enable running Ray on Kubernetes with elasticity, cluster stability, observability, and platform integration. You’ll also contribute to the Ray open-source community and collaborate on foundational ML/AI data and orchestration capabilities.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Design and develop Ray-based distributed computing solutions to support the Seed large model business.
•Develop features and optimize performance across Ray, KubeRay, and related upper-layer ecosystem frameworks.
•Build capabilities for running Ray on Kubernetes, including elasticity, tidal resource clusters, stability, observability, and platform integration.
•Contribute to the Ray open-source community.

Key Requirements

•Bachelor’s degree or above, preferably in Computer Science or a related field.
•Proficiency in programming languages such as Python and C++.
•Experience with RayCore/RayData/RayServe or Ray-related frameworks.
•Familiarity with common distributed computing frameworks such as Spark/Flink.
•Machine learning background is a plus.

Education:Bachelor's in Computer Science

Tech Stack:PythonC++RayKubeRayKubernetesRayCoreRayDataRayServeMagnusPrimusSparkFlink

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

2 days ago

R&D Engineer, Training Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Design and develop Ray-based distributed computing solutions to support the Seed large model business.
•Develop features and optimize performance across Ray, KubeRay, and related upper-layer ecosystem frameworks.
•Build capabilities for running Ray on Kubernetes, including elasticity, tidal resource clusters, stability, observability, and platform integration.
•Contribute to the Ray open-source community.

Key Requirements

•Bachelor’s degree or above, preferably in Computer Science or a related field.
•Proficiency in programming languages such as Python and C++.
•Experience with RayCore/RayData/RayServe or Ray-related frameworks.
•Familiarity with common distributed computing frameworks such as Spark/Flink.
•Machine learning background is a plus.

Education:Bachelor's in Computer Science

Tech Stack:PythonC++RayKubeRayKubernetesRayCoreRayDataRayServeMagnusPrimusSparkFlink

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn