Senior Machine Learning Engineer, ML Infrastructure - Offline
Tasks
- Design and operate large scale data pipelines for training datasets
- Develop distributed training infrastructure
- Enable large scale experimentation and model iteration
- Improve reproducibility and observability with validation monitoring automated testing
- Integrate machine learning pipelines with workflow orchestration systems
- Lead architectural improvements for scalable reliable and cost efficient pipelines
- Optimize performance and resource utilization across distributed compute
Perks/Benefits
- Commute subsidy
- Competitive retirement pension plans
- Employee resource groups
- Employee stock ownership
- Generous vacation personal days
- Global employee assistance program
- Mental health and wellbeing programs
- Office Food Snacks
- Support for new parents through leave and family care programs
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
Airflow | CUDA | Data Lake | Data Warehouse | Flink | Flyte | GPU Kernel | GPU kernel optimization | Kernel optimization | PyTorch | Python | Quantization | Ray | Ray Data | Ray Train | Spark | Streaming Platforms | Torch Compilation
Education
N/A
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