Principal Research Scientist Advanced Foundations & Frontier Intelligence

Role Requirements What We're Looking For Everything you need to know about this role responsibilities and the skills we value. 01 Key Responsibilities Pioneer Next-Gen AI Foundations: Design architectures for emergent reasoning, long-horizon planning, and cognitive synthesis across distributed intelligence nodes Develop Continuous Persona Alignment: Build high-fidelity, real-time learning frameworks that capture human traits, speech patterns, and decision-making logic without catastrophic forgetting Human-Centric Conversational AI: Research dialogue systems that understand intent, emotion, and context for natural human-AI interaction Architect Agentic AI Systems: Formulate robust, secure AI-to-AI communication protocols for autonomous negotiation and workflow execution Standardized Agent Interfaces: Design MCP and API layers for each model to enable secure tool-use, function calling, and AI-to-AI communication Agentic Secure RAG: Build privacy-preserving retrieval systems using FHE, MPC, TEE for secure and sovereign memory Decentralized Data Sovereignty: Integrate cryptographic and federated learning mechanisms that maximize user data ownership Optimize for Edge & Resource-Constrained Hardware: Compile and compress multi-modal workloads for efficient execution on low-power devices. Focus on SLMs and optimized models Represent CoRover: Serve as a technical ambassador for CoRover at international tech/AI conferences and research forums. Build academic and industry partnerships IP Leadership: File full patents and contribute to the companys IP portfolio. Translate research into defensible IP Research to Impact: Take research from concept to production at scale 02 Required Skills & Qualifications Education: Ph.D. Required in Computer Science, Machine Learning, Artificial Intelligence, or a highly quantitative field from a premier institution Frontier Systems Focus: Proven research in foundation models, SLMs, multi-modal architectures, or personalized AI Agentic Frameworks: Deep expertise in lifelong learning, multi-agent coordination, and high-fidelity memory retrieval Human-Centric AI: Experience in conversational AI, persona modeling, and alignment Security & Privacy: Research background in privacy-preserving ML, secure RAG, FHE, MPC, or confidential computing Hands-on Execution: Highly hands-on in PyTorch/TensorFlow/JAX. Capable of training and scaling models Publication Record: First-author publications in top-tier international research venues Patents: Should have patents. Preferably granted or filed in AI/ML 03 Preferred Skills SLMs & Optimization: Expertise in model compression, quantization INT4/INT8, FlashAttention, vLLM, TensorRT-LLM, TensorFlow Lite, XLA, JAX, Pathways, speculative decoding, edge inference Hardware Accelerators: Experience with NVIDIA GPUs, Google TPUs, and mobile/edge NPUs Energy Efficient AI: Research in reducing compute, memory, and energy for scalable deployment Conversational Video Pipelines: Real-time digital twins, talking-head generation, or video synthesis Distributed Systems: DeepSpeed, FSDP, ZeRO, HPC, GPU clusters, Kubernetes Confidential Computing: Hardware security, differential privacy, decentralized protocols Research Leadership: Track record of presenting research at international forums 04 Why Join CoRover AI with purpose and trust: Build technology that serves humanity Define the future of personalized and efficient AI from day 0 Work on fundamental research with global-scale impact Access state-of-the-art research compute Publish, patent, and present at leading research forums Generous ESOP for long-term alignment Mission: Build the ULM - Universal Language Model from Bharat Role Requirements What We're Looking For Everything you need to know about this role responsibilities and the skills we value. 01 Key Responsibilities Pioneer Next-Gen AI Foundations: Design architectures for emergent reasoning, long-horizon planning, and cognitive synthesis across distributed intelligence nodes Develop Continuous Persona Alignment: Build high-fidelity, real-time learning frameworks that capture human traits, speech patterns, and decision-making logic without catastrophic forgetting Human-Centric Conversational AI: Research dialogue systems that understand intent, emotion, and context for natural human-AI interaction Architect Agentic AI Systems: Formulate robust, secure AI-to-AI communication protocols for autonomous negotiation and workflow execution Standardized Agent Interfaces: Design MCP and API layers for each model to enable secure tool-use, function calling, and AI-to-AI communication Agentic Secure RAG: Build privacy-preserving retrieval systems using FHE, MPC, TEE for secure and sovereign memory Decentralized Data Sovereignty: Integrate cryptographic and federated learning mechanisms that maximize user data ownership Optimize for Edge & Resource-Constrained Hardware: Compile and compress multi-modal workloads for efficient execution