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 R&D 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 R&D 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 .
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
