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The Machine Learning Scientist will join a specialized ML team to design, develop, and test advanced deep learning algorithms focused on steganography and media watermarking across digital media formats (images, video, audio, etc.). You will also work closely with engineering teams to deploy these models into production environments, including mobile and cloud platforms.
Job Responsibility:
Research, design, and implement state-of-the-art deep learning–based steganography algorithms
Collaborate with engineering teams to integrate and deploy ML models to customer-facing platforms
Benchmark and evaluate new models against legacy approaches to ensure quality and accuracy
Prepare clear technical documentation, reports, and presentations to communicate findings to internal teams
Requirements:
Expert-level experience with PyTorch and training/testing deep neural networks
Experience in dataset collection and curation for deep learning
Strong communication, collaboration, and organizational skills
Nice to have:
Knowledge of steganography and digital watermarking techniques
Familiarity with image, video, and audio compression algorithms
Publication history in major ML/CV conferences (CVPR, ICCV, NeurIPS, etc.)
Experience deploying ML models to mobile, desktop, or cloud-based customer platforms