Research Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Phi Labs is Quantiphi s RD powerhouse, driving next-gen AI innovation with real-world impact. From pioneering advances in Generative-AI and Digital-Twins to solving complex challenges in life sciences, Phi Labs explores emerging frontiers before they become mainstream. Good to have: Demonstrated industry research experience will be considered as an additional bonus. Prior RD experience, and/or publications at top-tier ML conferences will be an advantage. Strong classical education on math / physics / mechanics / CS / Engineering concepts will also be an advantage. Must have: Preferred Level of Education: Master s or PhD Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how Hands-on experience in developing and improving Large Language Models and related techniques (finetuning / quantization / distillation / inference optimization / model merging etc.) is a must Knowledge of Cloud-environments like GCP/Azure, ML frameworks like PyTorch, Agent-frameworks like Langchain, ADK etc., with good experience in large scale distributed training Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly switch between adapt to newer concepts Ability to translate abstract highlights into understandable insights in multiple knowledge dissemination formats like blogs, presentations, paper-publications, tutorials and webinars 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 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. 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. Contribute to Q s growth through new ideas, reusable building blocks/assets, and IP (publications patents. Enhance company brand through thought leadership, document the knowledge gained and disseminate to broader audience in multiple formats, working on technical content creation, publications, in conjunction with content-team and program managers . Disclaimer :This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.