Machine Learning Engineer 3

Adobe is looking for a Machine Learning Engineer to join its Genuine Engineering team, focusing on safeguarding its ecosystem from fraudulent activities. The role involves developing machine learning models from the ground up, particularly custom transformer-based frameworks, to detect fraud and prevent account sharing. Daily tasks include managing the entire model lifecycle, from feature engineering and architecture development to large-scale GPU training and deployment. Candidates should be proficient in building and training deep learning models, utilizing techniques such as event tokenization and self-supervised pretraining. Experience with GPU infrastructure for efficient model training and familiarity with tools like Databricks and Spark for feature pipeline optimization are essential. The position also requires contributions to MLOps practices, including experiment tracking and model versioning. This role is ideal for engineers who prefer to take ownership of deep learning systems rather than using pre-existing models. The job location and employment type are not specified in the advert.