Lead Senior Research Engineer, XR ML systems

As a dependable Individual Researcher in this role, you will be holding the following responsibilities. Tactical leadership in problem-solving through innovating simple but effective LLM-based solutions for pushing the boundaries of our XR solutions and products. Systems thinking for dissecting any XR use-case to a set of AI/ML/DL algorithms and quickly building prototypes which are both accurate and efficient in Python and/or C++. Strong Ownership on delivering high quality results and meeting project timelines by proactively unblocking constraints by interacting with key stakeholders in SW, Algorithms and Tooling teams. Periodically communicating the progress to key-stake holders through oral and written methods, seek feedback and instrument solutions to address the gaps. 4+ years of hands-on experience in Deep Learning research and development, with a Master's degree in electrical engineering, information systems, computer science, or related field. 2+ years of Hands-on experience in developing LLM-related algorithms that were deployed in real-world AI products; Very good proficiency in transformer-based DL algorithms and programming languages that include Python and C Very good proficiency and hands on experience in State-of-the-art DL frameworks like PyTorch, ONNX and Tensorflow. Very good proficiency and a strong theoretical background in all AI/DL/ML concepts for ML-system design, problem-formulation, training and testing methodologies and continuous improvement. Strong communication skills and inter-personal skills to work effectively in a team. 2+ years of industrial experience in AI/ML/DL algo development with a PhD degree in computer science, electrical engineering and information systems from top-tier institutions. Proven expertise in data-curation and training of LLMs, Optimizing LLMs for resource constrained environments like mobile phones, mapping LLMs on to embedded platforms, Personalization/Customization of LLMs or distributed processing of LLMs. Hands on experience in transformer optimization techniques for training and inference. Proficiency in Generative and Multimodal AI models not limited to LLMs Publications in Top-TIER AI/ML conferences like CVPR, ECCV, ICLR, ICML or Neurips is a huge plus. Proficiency in C++ and Embedded SW Development. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.