Software Engineer (ML Infrastructure)

Join Ideogram as a Software Engineer, ML Infrastructure, where you'll build the systems that power training and serving for our generative AI models at scale. You'll work across the stack, from designing distributed training infrastructure to optimizing inference pipelines. Enjoy benefits such as 4 weeks of vacation, comprehensive health coverage, and a 401(k) with employer match.

• Concevoir et mettre en œuvre des infrastructures de formation distribuées pour les modèles d'IA générative.
• Optimiser les pipelines d'inférence pour servir des millions d'utilisateurs, en mettant l'accent sur la fiabilité, la rapidité et l'efficacité.
• Collaborer avec des équipes interfonctionnelles pour identifier les opportunités d'amélioration et mettre en œuvre des solutions.
• Deep sense of ownership - proactively identifies opportunities, suggests improvements, and acts on them
• Experience in deploying, supporting, and troubleshooting in complex Linux-based computing environments
• Can explain technical concepts to both engineers and non-technical stakeholders
• Experience in worker scaling for training or inference workloads
• The grit and adaptability to solve complex technical challenges that evolve day to day
• Pushes for quality through constructive code review and collaboration
• Experience designing large, highly available distributed systems with Kubernetes/GCP, and GPU/TPU workloads on those clusters
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent practical experience
• Fundamental knowledge in ML models and how they run on GPUs
• 1-4 years developing and shipping large-scale production infrastructure
• We're looking for someone who combines deep systems expertise with a builder's mindset, strong technical ownership, and the ability to move fast in an evolving AI landscape