Software Engineer, ML Data Infrastructure

Ideogram • Toronto, ON

1d • Onsite

About The Position

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.

You'll thrive here if you're excited about:
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.
• Deep sense of ownership - proactively identifies opportunities, suggests improvements, and acts on them
• Thrives in fast-moving, ambiguous environments with a strong bias toward action
• Asks great questions, thinks from first principles, and seeks out resources to deepen understanding

Nice To Haves

• Experience with Python
• Experience with Kubernetes
• Experience with GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
• Experience with Docker & Terraform

Responsibilities

• Build cutting-edge AI design experiences
• Tackle complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences
• Build robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines
• Optimize data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions
• Partner with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles

Benefits

• Competitive compensation and equity
• 4 weeks of vacation
• Comprehensive health, vision, and dental coverage starting on day one
• RRSP/401(k) with employer match up to 4%
• Top-of-the-line tools and tech
• Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners.
• Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking.
• A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed