AI Instinct Researcher

In high-velocity cyber defense and financial applications, agents cannot afford 10-second chain-of-thought delays for every primitive step. As an AI Instinct Researcher, you will develop "instinctual" reflex policies that mimic expert human intuition, bypassing full inference when certainty is high and escalating to deep deliberation when anomalies arise.

• Research and train small, hyper-specialized reflex models (1B–3B parameters) that mirror the judgment of larger frontier models.
• Formulate test-time compute budgeting algorithms that dynamically switch between instinctual reflexes and deep tree-of-thought search.
• Generate high-fidelity synthetic adversarial datasets to condition instinctual threat detection.
• Benchmark reflex policy latency, precision, and edge-case failure modes against production cyber defense feeds.
• Publish proprietary research findings and file technical patents on heuristic agent decision architectures.

• Comprehensive grasp of reinforcement learning from AI feedback (RLAIF), Monte Carlo Tree Search, and policy distillation.
• Thorough understanding of dual-process cognitive theory (System 1 fast intuitive vs System 2 slow deliberative reasoning).
• Mathematical foundations in information theory, entropy bounds, and uncertainty estimation.

• Expertise in PyTorch or JAX for custom loss formulation and distributed training loops.
• Experience with model quantization (AWQ, GPTQ) and kernel-level optimizations (FlashAttention, TensorRT).
• Proven ability to design empirical benchmarks with statistical significance validation.

• Passionate interest in biological decision-making mechanisms translated to neural computation.
• Rigorous skepticism toward benchmark overfitting and synthetic data contamination.
• Drive to invent architectural primitives rather than merely chaining existing API endpoints.

• Competitive research salary (₹12,00,000–₹22,00,000) with patent filing royalties.
• Dedicated high-VRAM GPU research nodes (NVIDIA H100/A100 instances).
• 100% remote working flexibility with conference travel budgets (NeurIPS, ICML, ICLR).
• Direct collaboration with top-tier advisors and autonomous systems pioneers.