AI Research Scientist

Job Description

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety, Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliabilit Responsibilit iesYou'll work on advanced problems related to AI explainability, AI safety, and AI alignme You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challeng Create new techniques around ML Observability & Alignme Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stab Create and maintain technical and product documentati Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS e Qualificat ionsHas a solid academic background in concepts of machine learning or deep learning or reinforcement learn ing Master or Ph D in key engineering topics like computer science or Mathematics is requ iredShould have published peer-reviewed papers or contributed to opensource t oolsHands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etcEnjoys working on various DL problems that involve using different types of training data sets textual, tabular, categorical, images etcComfortable deploying code in cloud environments/on-premise environme nts Good fundamentals in MLOps and productionising ML mod els Prior experience on working on ML explainability methods LRP, SHAPE, LIME, IG, CEM etc 2+ years of hands-on experience in Deep Learning or Machine Learn ing Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc