About The RoleWe'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
What We're Looking ForTechnical Excellence
- 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.
Ownership
- 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
Our StackOur backend infrastructure is primarily written in Python and makes use of the following technologies (experience with them is helpful but not strictly required):
- Kubernetes
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform
What We OfferCompetitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram's success.
4 weeks of vacation to recharge and explore.
Comprehensive health, vision, and dental coverage starting on day one.
RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join.
Top-of-the-line tools and tech to fuel your creativity and productivity.
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.
