Founding Research Engineer

Skills
Computer ScienceArtificial IntelligenceDistributed TrainingModel TrainingOptimizationSystem Performance
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong background in AI/ML engineering with expertise in end-to-end pipeline design and implementation.
  • Deep expertise in distributed training frameworks like PyTorch Distributed and DeepSpeed.
  • Experience in distributed techniques such as data tensor & pipeline parallelism.
  • Solid understanding of MLOps best practices including model versioning and CI/CD pipelines.
  • Passion for advancing decentralized AI training and democratizing AI access worldwide.

Day to day

  • Lead novel research to create a massive scale decentralized AI training solution.
  • Optimize AI workloads for performance cost and resource utilization using advanced computing techniques.
  • Contribute to open-source libraries for distributed model training and publish research findings.
  • Distill technical project outcomes into accessible blog posts for a broader audience.
  • Stay informed on the latest in AI/ML infrastructure and decentralized training to enhance platform capabilities.