About this role
Design and build multimodal reasoning models (e.g., time-series, audio, video) for Edge AI applications and advance agentic systems in collaboration with AI, NLP, audio, and time-series experts. Engage in the full research lifecycle including data collection, annotation, preprocessing, model training, evaluation, prototyping in Python (PyTorch/TensorFlow), applying techniques such as knowledge distillation and Chain-of-Thought, and disseminating results via reports and publications.
Skills for this role
Deep learningMultimodal reasoningTime-seriesAudioVideoEdge AIPythonPyTorchTensorFlowTransformer-based modelsSupervised fine-tuningPost-training techniquesKnowledge distillationChain-of-ThoughtAgentic reasoning systemsTask orchestrationLangChainLangGraphReinforcement learningGRPOLLM evaluation techniquesModel evaluationData collectionData annotationData preprocessingModel trainingScientific publishingTechnical writingResearch