Senior/Staff Machine Learning Engineer, Data Infrastructure
Tasks
- Automate testing for data pipelines
- Build large scale offline data platform
- Design and operate data pipelines for training datasets
- Develop batch and stream data processing infrastructure
- Enable large scale experimentation and model iteration
- Improve dataset validation and monitoring
- Integrate data pipelines with workflow orchestration
- Lead architectural improvements for scalability reliability and cost
- Optimize distributed compute performance and resource utilization
Perks/Benefits
- Commute subsidy
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Health insurance
- Life insurance
- Mental health programs
- Office snacks
- Parental leave
- Retirement pension plan
- Training and development programs
- Volunteering and donation matching
Skills/Tech-stack
Apache Airflow | Apache Spark | Automated testing | Data Lakes | Data Warehouses | Dataset validation | Distributed Computing | Flink | Flyte | Machine Learning | Machine Learning Pipelines | Observability | Python | Ray | Streaming Platforms | Workflow Orchestration
Education
N/A
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