Ideogram
Machine Learning Engineer, Applied AI
Toronto
Sponsorship not specifiedDetected 15 days ago
PythonMachine LearningDeep LearningPyTorchNLPResearchCommunicationCollaborationMentoring
About the role
- 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 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.
Responsibilities
- We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design.
- We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love.
- 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 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.
Compensation
- 💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram's success.
Benefits
- 💸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.
- 📍 Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners.
- 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.
Company info
- Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity.
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This listing is sourced directly from Ideogram's careers page and normalized into a canonical job model.