Research Engineer

5 days ago


Singapur, Singapore ByteDance Full time

Overview

Research Engineer (Machine Learning Training System) - 2025 Start at ByteDance.

Responsibilities
  • Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;
  • Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);
  • Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);
  • Improve efficiency and stability for extremely large scale distributed training jobs;
Qualifications

Minimum Qualifications:

  • Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and knowledge of the recent advances in computing, storage, networking, and hardware technologies
  • Familiar with machine learning algorithms and platforms;
  • Have basic understanding of how GPU and/or ASIC works;
  • Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

  • GPU based high performance computing, RDMA high performance network (NCCL, ibverbs);
  • Tensorflow, Jax, PyTorch or other deep learning frameworks;
  • Large scale data processing and parallel computing;
  • Experiences in designing and operating large scale systems in cloud computing or machine learning;
  • Experiences in in-depth CUDA programming and performance tuning
About ByteDance

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

If you have any questions, please reach out to us at

Job details
  • Seniority level: Internship
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Software Development

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