About this role
Software Engineer, ML Data Infrastructure at Ideogram. Location: Toronto or New York City. Role: building infrastructure, optimizing workflows, partnering scientists Requirements: 2+ years building large-scale distributed systems, strong fundamentals in data structures, algorithms, databases, and large-scale data processing; experience with Python, Kubernetes, GCP, and related data infra is helpful. Category: Software Development Seniority: Entry Level Tools: Python, Kubernetes, GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub, Docker, Terraform, TPU infrastructure Commitment: Full Time Workplace: Onsite Languages: English