Software Engineer, ML Data Infrastructure
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The role
As a Software Engineer, ML Data Infrastructure, you will design and ship scalable data infrastructure powering petabyte-scale, multi-modal model training.
Tackle complex distributed systems challenges, optimizing data processing workflows for high throughput and reliability.
Collaborate with research scientists to translate data requirements into production-grade systems that accelerate model development cycles.
Own features end-to-end—from scoping and implementation to launch—balancing performance, reliability, and maintainability.
Contribute to a Python-based stack and related tools (Kubernetes, Docker, Terraform) while leveraging GCP services (Bigtable, BigQuery, Spanner, Pub/Sub) and TPU infrastructure.
Based in Toronto with on-site collaboration and ample autonomy to experiment and access compute resources as needed.
Tackle complex distributed systems challenges, optimizing data processing workflows for high throughput and reliability.
Collaborate with research scientists to translate data requirements into production-grade systems that accelerate model development cycles.
Own features end-to-end—from scoping and implementation to launch—balancing performance, reliability, and maintainability.
Contribute to a Python-based stack and related tools (Kubernetes, Docker, Terraform) while leveraging GCP services (Bigtable, BigQuery, Spanner, Pub/Sub) and TPU infrastructure.
Based in Toronto with on-site collaboration and ample autonomy to experiment and access compute resources as needed.
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