Senior Research Engineer
1 week 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 groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, growing to 4000+ team members globally.
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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: Multiple depending on experience and education - Senior Research Scientist/ Engineer
Exp: 5-10years
Job location: Bangalore/Mumbai
Must have:
● Education level: Master’s or PhD
● Minimum work experience required : from new graduates to 5+ 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 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 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
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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