LLM Intern

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group's diverse businesses in electronics, entertainment, and financial fields. For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India (SRI) is offering outstanding career opportunities around frontline technologies such as AI and data analytics.Key responsibility:Together with the research scientists or other team members, work on the basic development activities daily, participate in developing Large Language Modeling (LLM), Retrieval Augmented Generation (RAG) and Reinforcement Learning from Human Feedback (RLHF) related development for Neural Machine Translation (NMT) related tasks for Indian Languages.Work Location:Hybrid/ Mumbai/RemoteDuration:6 months starting May 2024 third week9:00 to 18:00 (Monday to Friday) fulltimeExperience:Ph.D. or Master from Computer Science background or bachelor with hands-on experience in Python with an applications Language Processing.Must Have Skills:PytorchDeep Learning/Machine Learning frameworks: Pytorch, Tensorflow, scikit-learnKnowledge of the state-of-the-art in LLM, RAG, RLHF-based pipeline.Knowledge of generative AI modelsGood to have skillsExpertise in Pytorch.Prior experience in the development of the Indian language NMT.Our Values:Dreams & Curiosity: Pioneer the future with dreams and curiosity.Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.Integrity & Sincerity: Earn the trust of the Sony brand through ethical and responsible conduct.Sustainability: Fulfill our stakeholder responsibilities through disciplined business practices.Sony Research India is committed to equal opportunity in all its employment practices, policies, and procedures and to ensuring that no worker or potential worker will receive less favorable treatment due to any characteristic protected under applicable local laws. PRB