Founding Research Engineer
Skills
Computer ScienceArtificial IntelligenceDistributed TrainingModel TrainingOptimizationSystem Performance
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.
