Machine Learning Engineer - 4

The Machine Learning Engineer role at Adobe involves developing AI systems for the company's Digital Video & Audio group, working on ML-powered features from research prototypes to production deployments, and collaborating with senior engineers, researchers, and diverse collaborators.

Requirements

• 5+ years of hands-on experience in Machine Learning, Deep Learning, or related domains.
• Proven experience building, scaling, and deploying ML models in production environments with measurable impact.
• Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development.
• Solid foundations in mathematical modeling, including Linear Algebra, Probability, Statistics, and optimization theory.
• Deep understanding of core ML principles: model training, validation, generalization, and performance trade-offs.
• Strong grasp of deep learning architectures including CNNs, RNNs, Transformers, and multimodal models.
• Practical experience in computer vision tasks such as object detection, segmentation, tracking, video understanding, or temporal modeling.
• Familiarity with model optimization and deployment techniques including pre/post training quantization, ONNX, CoreML, and edge deployment.
• Understanding of software engineering guidelines including version control (Git), testing frameworks, CI/CD, and code review processes.
• Strong analytical thinking, problem-solving ability, and curiosity to learn in a fast-evolving AI landscape.
• Excellent communication skills and the ability to collaborate effectively within diverse, high-performing teams.