Software Engineer, ML Data Infrastructure
仕事内容
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.
求人の全文を見る
業務内容、求める人物像、スキル、待遇 — 無料アカウントの作成で閲覧できます。
すでにアカウントをお持ちですか？ ログイン
類似の求人
あなたに合いそうな他の職種。
? Machine Learning Intern Fall 2026 (Toronto) ? Director, Data Science ? Research Intern – Explainable AI and Reporting Framework for Power Grid ML Applications ? Software Development Manager, Measurement, AdTech and Data Science, Ads Performance Measurement ? Software Engineer, Machine Learning Infrastructure ? Principal Software Engineer - AI Platform