Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video.

We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love. ai, and check out the following links to learn more about our work: 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. 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’re comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses ~ Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. 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. ~ Steps from Union Station and the PATH, with daily in-office lunches and dinners. ~ Autonomy to explore and experiment — whether you’re testing current 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.

📌 Machine Learning Engineer, Applied AI Ideogram Toronto
🏢 Neura Market
📍 Toronto