Applied Machine Learning

Join Ideogram as an Applied Machine Learning Engineer, where you'll bridge research and product by turning cutting-edge generative models into production features. You'll experiment quickly, build rigorous evaluations and datasets, and collaborate with research, engineering, and infrastructure teams. Your work will focus on fine-tuning and deploying models for creative use cases, setting clear client success metrics, and contributing to the safety, monitoring, and reliability of systems. You'll also lead projects that shape Applied ML enterprise practices at Ideogram.

• Bridging research and product by turning frontier generative models into production features.
• Experimenting quickly, building rigorous evaluations and datasets, and partnering with research and engineering teams.
• Fine-tuning and deploying models for creative use cases, setting clear client success metrics, and contributing to safety and reliability.
• 1+ years of building and shipping ML products
• You’ve taken ML features from idea to evaluation to production with measurable gains (quality, latency, or cost)
• Strong communication and interpersonal skills
• You’re comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses
• You bring ownership, urgency, curiosity, and learn fast in a startup setting
• You write backend code in Python/ PyTorch/ Jax
• You collaborate with the product team to define success criteria and iterate quickly and pragmatically
• You’re familiar with modern deep learning such as transformers, diffusion, and encoders
• You design benchmarks and evaluation metrics, run error analyses, and debug numerical stability across data, training, and inference