Senior Machine Learning Infrastructure Engineer

1 day ago

Singapore BYTEDANCE PTE. LTD. Full time
About ByteDance

ByteDance is a cutting-edge technology company that inspires creativity and enriches life. Founded in 2012, our mission is to make a meaningful impact on people's lives through our innovative products and services.

We are passionate about creating a diverse and inclusive work environment where employees can thrive and grow. Our platform connects people from across the globe, and so does our workplace. We believe in celebrating our diverse voices and creating an environment that reflects the many communities we reach.

Job Summary

We are seeking an experienced Senior Machine Learning Infrastructure Engineer to join our Seed Foundation Machine Learning (ML) Systems team. As a key member of this team, you will be responsible for designing, building, and deploying end-to-end machine learning systems that accelerate models such as stable diffusion and LLM.

You will work closely with our research and development teams to advance the state-of-the-art of ML systems technology and develop hardware acceleration technologies for AI and cloud computing. Your expertise in distributed systems, compilers, HPC, and RDMA networking will be invaluable in helping us reinvent the ML infra for large scale language models.

Responsibilities:
  • Optimizing large-scale parallel training for state-of-the-art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc.
  • Research and develop our machine learning systems, including accelerated computing architecture, management, and monitoring.
  • Deploy the machine learning systems, distributed machine learning training, and inference.
  • Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC).
Requirements:
  • Bachelor or above degree in distributed, parallel computing principles and knowledge of recent advances in computing, storage, networking, and hardware technologies.
  • At least 3 years or more working experiences.
  • Familiar with machine learning algorithms, platforms, and frameworks such as PyTorch and Jax.
  • 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 (MPI, NCCL, ibverbs);
  • Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD;
  • Ai compiler stacks such as torch.fx, XLA, and MLIR;
  • 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 (cutlass, triton).
Estimated Salary:

$120,000 - $180,000 per annum.

Location: Singapore.

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