Senior Research Engineer

Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. Bengaluru, India Phi Labs Responsibilities Requirements Phi Labs, R&D Unit\nFor more details, please check - careers.quantiphi.com\n\nTeam: Gen-AI Research team, within Phi Labs\nRole Level: Research Engineer, Senior Research Engineer\nJob location: India (Bangalore/Mumbai)\nExperience: 2-6years\n\nResponsibilities:\n\n%CF; Stay ahead of the AI maturity curve, focusing on the upcoming areas of AI research, curate new ideas and upcoming research areas, explore multiple areas of Al research\n%CF; Build rapid prototypes and conduct detailed experimental studies to prove concepts in multiple AI and Engineering domains like Generative-AI, NLP, Multimodal AI, Computer-Vision, Reinforcement Learning etc.\n%CF; Work with experienced researchers and engineers to build cutting edge solutions on LLMs, Multimodal LMs, Multi-Agentic Workflows and more, resulting in various novel baselines and models\n%CF; Contribute to Q’s growth through new ideas, reusable building blocks/assets, and IP (publications & patents)\n\nGood to have:\n%CF; Demonstrated industry research experience will be considered as an additional bonus.\n%CF; Prior R&D experience, and/or publications at top-tier ML conferences will be an advantage.\n%CF; Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage.\nMust have:\n%CF; Preferred Level of Education: Master’s or PhD\n%CF; Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation\n%CF; Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how\n%CF; Hands-on experience in developing and improving Large Language Models and related techniques (finetuning / quantization / distillation / inference optimization / model merging etc.) is a must\n%CF; Knowledge of Cloud-environments like GCP/Azure, ML frameworks like PyTorch, Agent-frameworks like Lang chain, ADK etc., with good experience in large scale distributed training\n%CF; Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly switch between & adapt to newer concepts\n%CF; Ability to translate abstract highlights into understandable insights in multiple knowledge dissemination formats like blogs, presentations, paper-publications, tutorials and webinars.