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R&D Engineer, Training Infrastructure

ByteDance

Skills

Required

  • programming languages
  • Python
  • C++
  • RayCore / RayData / RayServe / Ray-related

Preferred

  • machine learning
  • distributed computing frameworks
  • Spark / Flink
  • Ray
  • distributed computing
  • feature development
  • optimization
  • KubeRay
  • upper-layer ecosystem frameworks
  • Kubernetes

About ByteDance

Our team provide foundational infrastructure and solutions for ML/AI scenarios at ByteDance, including data management for machine learning samples and multimodal data through Magnus, as well as distributed orchestration and computing framework capabilities through Primus and Ray.

Responsibilities

  • Participate in the design and development of Ray-based distributed computing solutions within the company, supporting the Seed large model business.
  • Contribute to feature development and performance optimization for the 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.

Requirements

  • Bachelor’s degree or above, preferably in Computer Science or a related field.
  • Proficient in programming languages such as Python and C++.
  • Experience with the RayCore/RayData/RayServe or Ray-related frameworks.

Preferred

  • Familiarity with common distributed computing frameworks, such as Spark/Flink; machine learning background is a plus.

Every job at ByteDance