Software Engineer, ML Data Infrastructure
IdeogramText-to-image generation company
Toronto, CanadaMid
Andreessen Horowitz
Index Ventures
Redpoint Ventures
Pear VC
SV Angel
AIX Ventures
Data & AI
About the role
TL;DR
Build and optimize data infrastructure for AI design experiences.
- •We're seeking an experienced engineer to join our team as a Software Engineer, ML Data Infrastructure.
- •You'll collaborate with exceptional engineers to build cutting-edge AI design experiences that delight millions of users.
- •Key Responsibilities Tackling complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences Building robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines Optimizing data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions Partnering with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles Requirements 2-5 years developing and shipping large-scale distributed systems with proven ability to manage complexity through thoughtful abstractions and scalable design Strong fundamentals in data structures, algorithms, and distributed systems Strong understanding of databases and data storage architectures Hands-on experience with large-scale data processing systems Demonstrated ability to drive projects from 0 to 1, including scoping, execution, and iteration
Required skills
PythonKubernetesGoogle CloudDockerTerraform
Domain expertise
ai
Benefits & perks
Competitive compensation and equity, 4 weeks of vacation, Comprehensive health, vision, and dental coverage, RRSP/401(k) with employer match, Top-of-the-line tools and tech, Autonomy to explore and experiment, A culture of learning and growth
Tech stack
PythonKubernetesGoogle CloudDockerTerraform
