Senior Research Engineer

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: http://www.quantiphi.com/ 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. Bengaluru, India Phi Labs Responsibilities Requirements Phi Labs, R&D Unit

For more details, please check - careers.quantiphi.com

Team: Gen-AI Research team, within Phi Labs

Role Level: Research Engineer, Senior Research Engineer

Job location: India (Bangalore/Mumbai)

Experience: 2-6years

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 AI and Engineering domains like Generative-AI, NLP, Multimodal AI, Computer-Vision, Reinforcement Learning etc.

Work with experienced researchers and engineers to build cutting edge solutions on LLMs, Multimodal LMs, Multi-Agentic Workflows and more, resulting in various novel baselines and models

Contribute to Qs growth through new ideas, reusable building blocks/assets, and IP (publications & patents)

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.

Must have:

Preferred Level of Education: Masters or PhD

Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation

Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how

Hands-on experience in developing and improving Large Language Models and related techniques (finetuning / quantization / distillation / inference optimization / model merging etc.) is a must

Knowledge of Cloud-environments like GCP/Azure, ML frameworks like PyTorch, Agent-frameworks like Lang chain, ADK etc., 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.