Distributed Machine Learning Infrastructure Specialist

2 weeks ago

Sydney, New South Wales, Australia IMC Financial Markets Full time

Job Summary

You will work as part of an established and growing research team at IMC Financial Markets, helping to develop frameworks for training large models on a distributed cluster. Your collaboration with researchers, platform and software engineers will leverage your knowledge of infrastructure and training libraries to accelerate the rollout of a broad array of models.

Key Responsibilities

  • Develop and Support Libraries
    • Accelerate training on a distributed environment.
    • Automate ML workflows, experiment evaluation and management, hyperparam tuning (autoML) & retraining.
    • Use GPU hardware in research cluster efficiently (data pipeline design, leveraging libraries such as GPUDirect & DALI).
  • Evaluate and Roll Out Tooling
    • Evaluate third-party tooling (e.g. MLflow; Neptune; Ray; ...).
  • Contribute to Open-Source Tools
    • Dig into the internals of open-source ML tools to extend their capabilities and fix fundamental bugs.
  • Scheduling and Resource Management
    • Leverage experience in scheduling tools (k8s, slurm etc) to support the effective use of contested resource across a broad research team.

Requirements

  • MS degree in CS or similar fields or equivalent experience.
  • 3+ years of relevant work experience.
  • Experience in fundamental ML frameworks like Pytorch and Tensorflow.
  • Experienced in Python, experience in C++ is highly desired.

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