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Senior Research Scientist

3 months ago

Bengaluru, Karnataka, India Quantiphi Full time

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.

For more details visit:


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

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.