Principal Research Scientist – Advanced Foundations & Frontier Intelligence

CoRover ️ P. Limited; Bengaluru, New Delhi, Mumbai; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

CoRover ️ P. Limited in Bengaluru is seeking a visionary Principal Research Scientist to lead core algorithmic breakthroughs at the frontier of AI.

The role focuses on designing foundation architectures, continuous learning, and secure AI-to-AI communications for scalable intelligence. You will pioneer next-gen AI foundations, enable privacy-preserving RAG, and drive production-ready research with global impact, including IP leadership and partnerships.

Qualifications

• Education: Ph.D. 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.

Responsibilities

• Pioneer Next-Gen AI Foundations: Design architectures for emergent reasoning and long-horizon planning.
• Develop Continuous Persona Alignment: Build real-time learning frameworks capturing human traits and decision logic.
• Human-Centric Conversational AI: Research dialogue systems for natural human-AI interaction.
• Architect Agentic AI Systems: Create secure AI-to-AI communication protocols for autonomous workflow.
• Standardized Interfaces: Design MCP and API layers for secure tool-use and AI-to-AI communication.
• Agentic Secure RAG: Build privacy-preserving retrieval systems with FHE, MPC, and TEEs.
• Decentralized Data Sovereignty: Integrate cryptographic and federated learning mechanisms.
• Optimize for Edge & Resource-Constrained Hardware: Compile and compress multi-modal workloads for low-power devices.

Skills

PyTorch/TensorFlow/JAX

Lifelong learning

Multi-agent coordination

Privacy-preserving ML

Real-time learning

Patents & publications

Education

Ph.D. in Computer Science, ML or AI

Tools

DeepSpeed

TensorRT

FHE/MPC/TEEs

GPUs (NVIDIA)

Job description

Principal Research Scientist - Advanced Foundations & Frontier Intelligence

We are looking for a visionary Principal Research Scientist to lead core algorithmic breakthroughs at the absolute frontier of artificial intelligence.You will design next-generation foundation architectures, continuous learning systems, and multi-modal alignment protocols aimed at building scalable, personalized, and efficient intelligence.This role is for a premier researcher who wants to move AI beyond static, internet-trained models toward autonomous, adaptive, and resource-efficient systems.

What We're Looking For

Everything you need to know about this role — responsibilities and the skills we value.

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 company’s IP portfolio. Translate research into defensible IP
• Research to Impact: Take research from concept to production at scale

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

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

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

We'll get back to you within 3-5 business days.