Research Engineer
1 month ago
Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at
the heart of businesses. Our signature approach combines ground breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5 x growth YoY since its inception in 2013, growing to 4000+ team members globally. For more details visit: The Role:
Applied-Research is an R&D practice at Quantiphi, focused on unraveling the frontiers of AI 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.
Role Level: Senior Research Engineer
Job Location : BLR/Mumbai
Roles & 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 Computer-Vision, NLP, Reinforcement Learning, Physics-Informed Neural Networks, Simulations 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 AI 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 Requirements:
● Education level: Master’s or PhD
●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 in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc.
● Knowledge of Cloud environments like GCP/AWS and ML frameworks like TensorFlow/PyTorch, with good experience in largescale 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.
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