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Software Engineer, ML Data Infrastructure

Toronto💼 Full-time🗓 2026-06-03 → 2026-07-31

Core

Building robust data infrastructure and optimizing data processing workflows for massive throughput to power foundation models at petabyte scale.

Role type

Senior IC machine-learning data infrastructure engineer

Builds

Production-grade data systems and distributed pipelines for multi-modal training

Domain

Generative AI / Large-scale distributed systems

Deliverable

infrastructure

Required skills

distributed systems, data structures, algorithms, databases, data storage architectures, large-scale data processing, project scoping, execution, iteration

Preferred skills

Kubernetes, GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub, Docker, Terraform, TPU infrastructure

Responsibilities

Scaling distributed systems, building robust data infrastructure for foundation models, optimizing data processing workflows, partnering with research scientists to translate data requirements into production systems

Seniority

Mid-level, hands-on IC

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