Staff Machine Learning Engineer, Offline Infrastructure
Tasks
- Design 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 offline ML pipelines
- Optimize performance and resource utilization for distributed compute
Perks/Benefits
- Commute subsidy
- Comprehensive health insurance
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Family care programs
- Generous vacation
- Life insurance
- Mental health programs
- Office Food Snacks
- Parental leave
- Personal days
- Relocation support not available
- Retirement pension plans
- Training and development
- Volunteering and donation matching
Skills/Tech-stack
Airflow | Data Lakes | Data Processing | Data Warehouses | Distributed Computing | Flink | Flyte | Machine Learning | Machine Learning Pipelines | Model Training | PyTorch | Python | Ray | Ray Data | Ray Train | Spark | Workflow Orchestration
Education
N/A
Regions
Countries
States
Cities
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