Software Engineer, ML Data Infrastructure
Tasks
- Build distributed systems for AI data infrastructure
- Collaborate with research to translate data needs into systems
- Design data processing pipelines for multi modal training
- Develop systems from requirements to production
- Optimize data workflows for high throughput
- Scale storage and reliability for foundation model training
Perks/Benefits
- Access to compute resources
- Dental insurance
- Health insurance
- In-office meals
- Learning and mentorship
- RRSP or 401k match
- Vacation 4 weeks
- Vision insurance
Skills/Tech-stack
Algorithms | Cloud platform | Data Pipelines | Data Processing | Data Storage | Data Structures | Databases | Distributed Systems | Docker | Google BigQuery | Google Bigtable | Google Cloud | Google Cloud Platform | Google Pubsub | Google Spanner | Kubernetes | Python | Terraform
Education
N/A
Regions
Countries
States
Cities
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