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!
About the Applied Research Unit
Applied-Research is an R&D practice at Quantiphi, focused on unraveling the frontiers of Al technologies with Applied ML at its core. With a multifaceted R&D strategy, we tackle ideating and building innovative solutions to cutting edge challenges, with advanced prototyping and scalable proofs of concept. Strengthened by the strategic partnerships working towards a generalized goal, we strive to leverage and demonstrate the major advances in Al to understand
and transform the way humans collaborate with Al-systems in the near future.
Job Description
Role Level: Research Engineer / scientist
Work location: India
Resource count: Multiple openings
The Role in a Nutshell:
This is a great opportunity to work on cutting-edge topics within the growing Applied Research team of Quantiphi. You will investigate some of the latest trends in artificial intelligence, espousing the state of the art deep learning techniques, LLMs, knowledge graphs etc, develop proof of concepts, prototypes, publish your work and produce Intellectual Property (IP).
Responsibilities:
● 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 ML and Engineering domains like Simulations, Reinforcement Learning, multi-objective optimization etc.
● Work with experienced researchers and engineers to build cutting edge solutions ,benchmark various novel baselines and models
● Contribute to Q’s growth through new ideas, reusable building blocks/assets, and IP/patents
● Enhance company brand through thought leadership, document the knowledge gained and disseminate to broader audience in multiple formats, working on technical content creation, publication, in conjunction with content-team and program managers
Requirements:
The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest Al research 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 in Mech/Chem/Industrial/Comp engineering streams with focus on AI/ML and optimization
● 2 years of research experience with submitting papers to applied AI / engineering journals or machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.)
● Excellent in-depth understanding of optimization concepts such as LP, QP, GA and the respective underlying mathematical know-how
● Hands-on experience in developing deploying optimization algorithms for industrial problems / benchmarks
● Familiarity with diverse optimization tools and libraries Google OR, pyomo, pymoo ,gurobi, pyswarms.
● Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly switch between & adapt to newer concepts
● Knowledge of Cloud-environments like GCP/AWS and ML frameworks like
TensorFlow/PyTorch, with good experience in large scale distributed training
● 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 experience will be considered as an additional bonus.
● Familiarity with ML, DL algorithms (especially RL) and prior optimization/operation research experience 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!
