Staff Machine Learning Engineer, Offline Infrastructure
Tasks
- Design and operate large scale data pipelines for training datasets
- Develop infrastructure for distributed training workflows
- Enable large scale experimentation and model iteration
- Improve reproducibility and observability of ML pipelines
- Integrate ML pipelines with workflow orchestration
- Lead architectural improvements for scalable reliable cost efficient offline ML pipelines
- Optimize performance and resource utilization in distributed compute
Perks/Benefits
- Commute subsidy
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Family leave support
- Generous vacation
- Mental health programs
- Office Food Snacks
- Relocation support not available
- Retirement pension plans
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
Data Lake | Data Warehouse | Data pipeline | Distributed Computing | Feature Engineering | Flink | Machine Learning | PyTorch | Python | Ray | Ray Data | Ray Train | Spark | Streaming Data | Workflow Orchestration
Education
N/A
Regions
Countries
States
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