- Conduct applied research to advance the state of the art in Language / Multimodal Models and Agentic systems
- Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes
- Collaborate with different cross-functional teams across the globe in research and product
- PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning, robotics, large language models and/or computer vision
- Proven development skills in Deep Learning, working with PyTorch or TensorFlow
- Experience developing LLM algorithms or infrastructure in Python or C/C++
- * First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH
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