Senior Applied ML Researcher Video Apps
Cupertino, CA - USA
Job Summary
Design and train deep neural networks for video image audio and audio-visual models for audio-visual representation learning cross-modal alignment and solutions for tasks such as:nVideo understanding and temporal -visual event sound and scene classification detection and localization.n
MS in Computer Science Machine Learning or a related field or equivalent practical experiencen4 years of experience in deep learning or machine learning engineeringnstrong expertise in deep neural networks and modern training workflowsn8 years Hands-on experience with computer vision and/or audio modelingnProficiency in Python and deep learning frameworks (PyTorch preferred)nSolid understanding of linear algebra probability and optimizationnAbility to build intuition from problem statement and translate to dataset requirement neural network design and loss functionsn
PhD in computer science machine learning or a related field or equivalent practical in top-tier ML conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV etc.)nExperience with self-supervised or foundation model pre-trainingnOpen-source contributions in vision audio or multimodal AInBonus: Experience with Objective-C and/or Swift for on-device deploymentn
Required Experience:
Senior IC
About Company
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