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!

The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies.

Must have:
● Education level: Master’s or PhD.
● Background in Biotechnology/Bioinformatics
● Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research)
● Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how
● Hands-on experience with in silico techniques in drug discovery
● Working knowledge of using NLP with biological sequences
● Hands-on experience with HPC workflows with genome datasets
● Hands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics ,LLM, chat-GPT, etc.
● Knowledge of Cloud-environments like GCP/AWS and ML frameworks like
TensorFlow/PyTorch, 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

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.

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