The Opportunity

As an Applied ML Engineer at Ideogram, you'll bridge research and product - turning frontier generative models into production features across our first-party app and API. You'll experiment quickly, build rigorous evaluations and datasets, and partner with research, engineering, infra, while working directly/frequently with clients to ship reliable and scalable ML systems. You'll fine-tune and deploy models for creative use cases (text-to-image, image-to-text, image enhancement and editing, multimodal), set clear client success metrics (quality, latency, cost), and contribute to safety, monitoring, and reliability of systems. You'll lead 0 to 1 projects that shape Applied ML enterprise practices at Ideogram, while delivering features that create delight and real value for our users.

What We're Looking For

• 1+ years of building and shipping ML products
• You write backend code in Python/ PyTorch/ Jax
• You design benchmarks and evaluation metrics, run error analyses, and debug numerical stability across data, training, and inference
• You've taken ML features from idea to evaluation to production with measurable gains (quality, latency, or cost)
• You collaborate with the product team to define success criteria and iterate quickly and pragmatically
• You're comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses
• You're familiar with modern deep learning such as transformers, diffusion, and encoders
• You bring ownership, urgency, curiosity, and learn fast in a startup setting
• Strong communication and interpersonal skills

What We Offer

Competitive 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.