Machine Learning Engineer 4

Adobe is seeking a Machine Learning Engineer to join their Genuine Engineering team, focused on protecting Adobe's ecosystem from fraud and abuse using intelligent systems. You will build and deploy machine learning models from scratch, managing the entire model lifecycle from data engineering to production monitoring. This role is for an engineer who wants to own deep learning systems end-to-end.

• Build and train deep learning models from scratch, including custom transformer and attention-based architectures
• Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining, and downstream fine-tuning
• Train large models efficiently on GPU infrastructure using mixed-precision training and distributed strategies
• Build and optimize feature pipelines on Databricks and Spark
• Translate prototypes into production ML systems, scalable, reliable, and observable
• Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and production monitoring