Staff Machine Learning Engineer, Offline Infrastructure
Tasks
- Automate testing for ML pipelines
- Design data pipelines for training datasets
- Develop infrastructure for distributed training workflows
- Enable large scale experimentation and model iteration
- Integrate ML pipelines with workflow orchestration
- Lead architectural improvements for ML infrastructure
- Optimize performance and resource utilization
- Validate datasets and implement monitoring
Perks/Benefits
- Commute subsidy
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Mental health & wellbeing programs
- Office Food Snacks
- Paid parental leave
- Retirement pension plans
- Training and development programs
- Volunteering donation matching program
Skills/Tech-stack
Apache Airflow | Apache Flink | Apache Spark | Automated testing | Data Lakes | Data Warehouses | Dataset validation | Distributed Systems | Flyte | Machine Learning | Machine Learning Pipelines | Monitoring | PyTorch | Python | Ray | Ray Data | Ray Train | Streaming Platforms | Workflow Orchestration
Education
N/A
Regions
Countries
States
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