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
